id sid tid token lemma pos ajst-19344 1 1 academic academic ADJ ajst-19344 1 2 journal journal NOUN ajst-19344 1 3 of of ADP ajst-19344 1 4 science science NOUN ajst-19344 1 5 and and CCONJ ajst-19344 1 6 technology technology NOUN ajst-19344 1 7 issn issn NOUN ajst-19344 1 8 : : PUNCT ajst-19344 1 9 2771 2771 NUM ajst-19344 1 10 - - SYM ajst-19344 1 11 3032 3032 NUM ajst-19344 1 12 | | NOUN ajst-19344 1 13 vol vol NOUN ajst-19344 1 14 . . PROPN ajst-19344 2 1 10 10 NUM ajst-19344 2 2 , , PUNCT ajst-19344 2 3 no no INTJ ajst-19344 2 4 . . NOUN ajst-19344 2 5 1 1 NUM ajst-19344 2 6 , , PUNCT ajst-19344 2 7 2024 2024 NUM ajst-19344 2 8 456 456 NUM ajst-19344 2 9 a a DET ajst-19344 2 10 distribution distribution NOUN ajst-19344 2 11 - - PUNCT ajst-19344 2 12 adaptive adaptive ADJ ajst-19344 2 13 attention attention NOUN ajst-19344 2 14 transformer transformer NOUN ajst-19344 2 15 for for ADP ajst-19344 2 16 blood blood NOUN ajst-19344 2 17 pressure pressure NOUN ajst-19344 2 18 prediction prediction NOUN ajst-19344 2 19 chen chen PROPN ajst-19344 2 20 wang1 wang1 PROPN ajst-19344 2 21 , , PUNCT ajst-19344 2 22 * * SYM ajst-19344 2 23 1 1 NUM ajst-19344 2 24 school school NOUN ajst-19344 2 25 of of ADP ajst-19344 2 26 software software NOUN ajst-19344 2 27 engineering engineering PROPN ajst-19344 2 28 , , PUNCT ajst-19344 2 29 chengdu chengdu PROPN ajst-19344 2 30 university university PROPN ajst-19344 2 31 of of ADP ajst-19344 2 32 information information NOUN ajst-19344 2 33 technology technology PROPN ajst-19344 2 34 , , PUNCT ajst-19344 2 35 chengdu chengdu PROPN ajst-19344 2 36 , , PUNCT ajst-19344 2 37 610225 610225 NUM ajst-19344 2 38 , , PUNCT ajst-19344 2 39 china china PROPN ajst-19344 2 40 * * PUNCT ajst-19344 2 41 corresponding correspond VERB ajst-19344 2 42 author author NOUN ajst-19344 2 43 abstract abstract NOUN ajst-19344 2 44 : : PUNCT ajst-19344 2 45 accurately accurately ADV ajst-19344 2 46 predicting predict VERB ajst-19344 2 47 intraoperative intraoperative ADJ ajst-19344 2 48 blood blood NOUN ajst-19344 2 49 pressure pressure NOUN ajst-19344 2 50 to to PART ajst-19344 2 51 prevent prevent VERB ajst-19344 2 52 intraoperative intraoperative ADJ ajst-19344 2 53 hypotension hypotension NOUN ajst-19344 2 54 is be AUX ajst-19344 2 55 of of ADP ajst-19344 2 56 significant significant ADJ ajst-19344 2 57 importance importance NOUN ajst-19344 2 58 . . PUNCT ajst-19344 3 1 however however ADV ajst-19344 3 2 , , PUNCT ajst-19344 3 3 the the DET ajst-19344 3 4 task task NOUN ajst-19344 3 5 of of ADP ajst-19344 3 6 intraoperative intraoperative ADJ ajst-19344 3 7 blood blood NOUN ajst-19344 3 8 pressure pressure NOUN ajst-19344 3 9 prediction prediction NOUN ajst-19344 3 10 often often ADV ajst-19344 3 11 faces face VERB ajst-19344 3 12 the the DET ajst-19344 3 13 challenge challenge NOUN ajst-19344 3 14 of of ADP ajst-19344 3 15 substantial substantial ADJ ajst-19344 3 16 sample sample NOUN ajst-19344 3 17 distribution distribution NOUN ajst-19344 3 18 disparities disparity NOUN ajst-19344 3 19 due due ADJ ajst-19344 3 20 to to ADP ajst-19344 3 21 individual individual ADJ ajst-19344 3 22 physiological physiological ADJ ajst-19344 3 23 differences difference NOUN ajst-19344 3 24 among among ADP ajst-19344 3 25 patients patient NOUN ajst-19344 3 26 and and CCONJ ajst-19344 3 27 the the DET ajst-19344 3 28 diversity diversity NOUN ajst-19344 3 29 of of ADP ajst-19344 3 30 surgical surgical ADJ ajst-19344 3 31 conditions condition NOUN ajst-19344 3 32 . . PUNCT ajst-19344 4 1 these these DET ajst-19344 4 2 disparities disparity NOUN ajst-19344 4 3 can can AUX ajst-19344 4 4 cause cause VERB ajst-19344 4 5 a a DET ajst-19344 4 6 decline decline NOUN ajst-19344 4 7 in in ADP ajst-19344 4 8 model model NOUN ajst-19344 4 9 performance performance NOUN ajst-19344 4 10 when when SCONJ ajst-19344 4 11 encountering encounter VERB ajst-19344 4 12 inconsistently inconsistently ADV ajst-19344 4 13 distributed distribute VERB ajst-19344 4 14 samples sample NOUN ajst-19344 4 15 , , PUNCT ajst-19344 4 16 thus thus ADV ajst-19344 4 17 limiting limit VERB ajst-19344 4 18 its its PRON ajst-19344 4 19 generalizability generalizability NOUN ajst-19344 4 20 in in ADP ajst-19344 4 21 real real ADJ ajst-19344 4 22 - - PUNCT ajst-19344 4 23 world world NOUN ajst-19344 4 24 clinical clinical ADJ ajst-19344 4 25 settings setting NOUN ajst-19344 4 26 . . PUNCT ajst-19344 5 1 to to PART ajst-19344 5 2 address address VERB ajst-19344 5 3 this this DET ajst-19344 5 4 challenge challenge NOUN ajst-19344 5 5 , , PUNCT ajst-19344 5 6 this this DET ajst-19344 5 7 paper paper NOUN ajst-19344 5 8 develops develop VERB ajst-19344 5 9 a a DET ajst-19344 5 10 distribution distribution NOUN ajst-19344 5 11 - - PUNCT ajst-19344 5 12 adaptive adaptive ADJ ajst-19344 5 13 attention attention NOUN ajst-19344 5 14 strategy strategy NOUN ajst-19344 5 15 aimed aim VERB ajst-19344 5 16 at at ADP ajst-19344 5 17 mitigating mitigate VERB ajst-19344 5 18 distributional distributional ADJ ajst-19344 5 19 differences difference NOUN ajst-19344 5 20 by by ADP ajst-19344 5 21 incorporating incorporate VERB ajst-19344 5 22 statistical statistical ADJ ajst-19344 5 23 information information NOUN ajst-19344 5 24 within within ADP ajst-19344 5 25 the the DET ajst-19344 5 26 model model NOUN ajst-19344 5 27 's 's PART ajst-19344 5 28 internal internal ADJ ajst-19344 5 29 design design NOUN ajst-19344 5 30 . . PUNCT ajst-19344 6 1 the the DET ajst-19344 6 2 strategy strategy NOUN ajst-19344 6 3 automatically automatically ADV ajst-19344 6 4 adjusts adjust VERB ajst-19344 6 5 the the DET ajst-19344 6 6 model model NOUN ajst-19344 6 7 's 's PART ajst-19344 6 8 attention attention NOUN ajst-19344 6 9 weights weight NOUN ajst-19344 6 10 by by ADP ajst-19344 6 11 learning learn VERB ajst-19344 6 12 statistical statistical ADJ ajst-19344 6 13 information information NOUN ajst-19344 6 14 from from ADP ajst-19344 6 15 input input NOUN ajst-19344 6 16 windows window NOUN ajst-19344 6 17 , , PUNCT ajst-19344 6 18 enhancing enhance VERB ajst-19344 6 19 the the DET ajst-19344 6 20 capability capability NOUN ajst-19344 6 21 to to PART ajst-19344 6 22 learn learn VERB ajst-19344 6 23 the the DET ajst-19344 6 24 inherent inherent ADJ ajst-19344 6 25 distribution distribution NOUN ajst-19344 6 26 patterns pattern NOUN ajst-19344 6 27 within within ADP ajst-19344 6 28 non non ADJ ajst-19344 6 29 - - ADJ ajst-19344 6 30 stationary stationary ADJ ajst-19344 6 31 sequences sequence NOUN ajst-19344 6 32 . . PUNCT ajst-19344 7 1 consequently consequently ADV ajst-19344 7 2 , , PUNCT ajst-19344 7 3 it it PRON ajst-19344 7 4 reduces reduce VERB ajst-19344 7 5 performance performance NOUN ajst-19344 7 6 fluctuations fluctuation NOUN ajst-19344 7 7 caused cause VERB ajst-19344 7 8 by by ADP ajst-19344 7 9 distributional distributional ADJ ajst-19344 7 10 differences difference NOUN ajst-19344 7 11 . . PUNCT ajst-19344 8 1 the the DET ajst-19344 8 2 effectiveness effectiveness NOUN ajst-19344 8 3 of of ADP ajst-19344 8 4 the the DET ajst-19344 8 5 proposed propose VERB ajst-19344 8 6 distribution distribution NOUN ajst-19344 8 7 - - PUNCT ajst-19344 8 8 adaptive adaptive ADJ ajst-19344 8 9 attention attention NOUN ajst-19344 8 10 strategy strategy NOUN ajst-19344 8 11 is be AUX ajst-19344 8 12 demonstrated demonstrate VERB ajst-19344 8 13 through through ADP ajst-19344 8 14 multiple multiple ADJ ajst-19344 8 15 comparative comparative ADJ ajst-19344 8 16 experiments experiment NOUN ajst-19344 8 17 in in ADP ajst-19344 8 18 the the DET ajst-19344 8 19 experimental experimental ADJ ajst-19344 8 20 section section NOUN ajst-19344 8 21 . . PUNCT ajst-19344 9 1 keywords keyword NOUN ajst-19344 9 2 : : PUNCT ajst-19344 9 3 blood blood NOUN ajst-19344 9 4 pressure pressure NOUN ajst-19344 9 5 prediction prediction NOUN ajst-19344 9 6 , , PUNCT ajst-19344 9 7 distribution distribution NOUN ajst-19344 9 8 - - PUNCT ajst-19344 9 9 adaptive adaptive ADJ ajst-19344 9 10 attention attention NOUN ajst-19344 9 11 , , PUNCT ajst-19344 9 12 non non ADJ ajst-19344 9 13 - - ADJ ajst-19344 9 14 stationary stationary ADJ ajst-19344 9 15 sequences sequence NOUN ajst-19344 9 16 , , PUNCT ajst-19344 9 17 distribution distribution NOUN ajst-19344 9 18 disparities disparity NOUN ajst-19344 9 19 . . PUNCT ajst-19344 10 1 1 1 X ajst-19344 10 2 . . X ajst-19344 10 3 introduction introduction NOUN ajst-19344 10 4 intraoperative intraoperative ADJ ajst-19344 10 5 hypotension hypotension NOUN ajst-19344 10 6 is be AUX ajst-19344 10 7 a a DET ajst-19344 10 8 common common ADJ ajst-19344 10 9 clinical clinical ADJ ajst-19344 10 10 risk risk NOUN ajst-19344 10 11 that that PRON ajst-19344 10 12 can can AUX ajst-19344 10 13 lead lead VERB ajst-19344 10 14 to to ADP ajst-19344 10 15 long long ADJ ajst-19344 10 16 - - PUNCT ajst-19344 10 17 term term NOUN ajst-19344 10 18 harm harm NOUN ajst-19344 10 19 and and CCONJ ajst-19344 10 20 postoperative postoperative ADJ ajst-19344 10 21 complications complication NOUN ajst-19344 10 22 for for ADP ajst-19344 10 23 patients patient NOUN ajst-19344 10 24 . . PUNCT ajst-19344 11 1 accurately accurately ADV ajst-19344 11 2 predicting predict VERB ajst-19344 11 3 the the DET ajst-19344 11 4 blood blood NOUN ajst-19344 11 5 pressure pressure NOUN ajst-19344 11 6 state state NOUN ajst-19344 11 7 of of ADP ajst-19344 11 8 patients patient NOUN ajst-19344 11 9 during during ADP ajst-19344 11 10 surgery surgery NOUN ajst-19344 11 11 to to PART ajst-19344 11 12 prevent prevent VERB ajst-19344 11 13 intraoperative intraoperative ADJ ajst-19344 11 14 hypotension hypotension NOUN ajst-19344 11 15 plays play VERB ajst-19344 11 16 a a DET ajst-19344 11 17 positive positive ADJ ajst-19344 11 18 role role NOUN ajst-19344 11 19 in in ADP ajst-19344 11 20 improving improve VERB ajst-19344 11 21 surgical surgical ADJ ajst-19344 11 22 safety safety NOUN ajst-19344 11 23 and and CCONJ ajst-19344 11 24 reducing reduce VERB ajst-19344 11 25 postoperative postoperative ADJ ajst-19344 11 26 complications[1 complications[1 NOUN ajst-19344 11 27 ] ] PUNCT ajst-19344 11 28 . . PUNCT ajst-19344 12 1 the the DET ajst-19344 12 2 task task NOUN ajst-19344 12 3 of of ADP ajst-19344 12 4 intraoperative intraoperative ADJ ajst-19344 12 5 blood blood NOUN ajst-19344 12 6 pressure pressure NOUN ajst-19344 12 7 management management NOUN ajst-19344 12 8 faces face VERB ajst-19344 12 9 a a DET ajst-19344 12 10 challenge challenge NOUN ajst-19344 12 11 as as SCONJ ajst-19344 12 12 shown show VERB ajst-19344 12 13 in in ADP ajst-19344 12 14 the the DET ajst-19344 12 15 figure figure NOUN ajst-19344 12 16 . . PUNCT ajst-19344 13 1 figure figure NOUN ajst-19344 13 2 1 1 NUM ajst-19344 13 3 . . PUNCT ajst-19344 14 1 during during ADP ajst-19344 14 2 preprocessing preprocessing NOUN ajst-19344 14 3 and and CCONJ ajst-19344 14 4 training training NOUN ajst-19344 14 5 , , PUNCT ajst-19344 14 6 individual individual ADJ ajst-19344 14 7 patient patient NOUN ajst-19344 14 8 differences difference NOUN ajst-19344 14 9 are be AUX ajst-19344 14 10 n't not PART ajst-19344 14 11 accounted account VERB ajst-19344 14 12 for for ADP ajst-19344 14 13 , , PUNCT ajst-19344 14 14 and and CCONJ ajst-19344 14 15 physiological physiological ADJ ajst-19344 14 16 responses response NOUN ajst-19344 14 17 to to ADP ajst-19344 14 18 external external ADJ ajst-19344 14 19 stimuli stimulus NOUN ajst-19344 14 20 can can AUX ajst-19344 14 21 differ differ VERB ajst-19344 14 22 among among ADP ajst-19344 14 23 patients patient NOUN ajst-19344 14 24 , , PUNCT ajst-19344 14 25 causing cause VERB ajst-19344 14 26 inconsistent inconsistent ADJ ajst-19344 14 27 sample sample NOUN ajst-19344 14 28 distributions[2 distributions[2 PROPN ajst-19344 14 29 ] ] PUNCT ajst-19344 14 30 . . PUNCT ajst-19344 15 1 these these DET ajst-19344 15 2 inconsistencies inconsistency NOUN ajst-19344 15 3 arise arise VERB ajst-19344 15 4 from from ADP ajst-19344 15 5 individual individual ADJ ajst-19344 15 6 variability variability NOUN ajst-19344 15 7 . . PUNCT ajst-19344 16 1 additionally additionally ADV ajst-19344 16 2 , , PUNCT ajst-19344 16 3 physiological physiological ADJ ajst-19344 16 4 states state NOUN ajst-19344 16 5 can can AUX ajst-19344 16 6 shift shift VERB ajst-19344 16 7 significantly significantly ADV ajst-19344 16 8 during during ADP ajst-19344 16 9 surgery surgery NOUN ajst-19344 16 10 due due ADP ajst-19344 16 11 to to ADP ajst-19344 16 12 factors factor NOUN ajst-19344 16 13 such such ADJ ajst-19344 16 14 as as ADP ajst-19344 16 15 medication medication NOUN ajst-19344 16 16 , , PUNCT ajst-19344 16 17 surgical surgical ADJ ajst-19344 16 18 differences difference NOUN ajst-19344 16 19 , , PUNCT ajst-19344 16 20 and and CCONJ ajst-19344 16 21 individual individual ADJ ajst-19344 16 22 physiological physiological ADJ ajst-19344 16 23 reactions reaction NOUN ajst-19344 16 24 , , PUNCT ajst-19344 16 25 leading lead VERB ajst-19344 16 26 to to ADP ajst-19344 16 27 non non ADJ ajst-19344 16 28 - - NOUN ajst-19344 16 29 stationarity stationarity NOUN ajst-19344 16 30 in in ADP ajst-19344 16 31 blood blood NOUN ajst-19344 16 32 pressure pressure NOUN ajst-19344 16 33 series series NOUN ajst-19344 16 34 and and CCONJ ajst-19344 16 35 distribution distribution NOUN ajst-19344 16 36 shift shift NOUN ajst-19344 16 37 problems problem NOUN ajst-19344 16 38 . . PUNCT ajst-19344 17 1 figure figure VERB ajst-19344 17 2 1 1 NUM ajst-19344 17 3 distributional distributional ADJ ajst-19344 17 4 variability variability NOUN ajst-19344 17 5 these these DET ajst-19344 17 6 issues issue NOUN ajst-19344 17 7 result result VERB ajst-19344 17 8 in in ADP ajst-19344 17 9 blood blood NOUN ajst-19344 17 10 pressure pressure NOUN ajst-19344 17 11 prediction prediction NOUN ajst-19344 17 12 models model NOUN ajst-19344 17 13 potentially potentially ADV ajst-19344 17 14 struggling struggle VERB ajst-19344 17 15 to to PART ajst-19344 17 16 capture capture VERB ajst-19344 17 17 and and CCONJ ajst-19344 17 18 adapt adapt VERB ajst-19344 17 19 to to ADP ajst-19344 17 20 individual individual ADJ ajst-19344 17 21 variability variability NOUN ajst-19344 17 22 , , PUNCT ajst-19344 17 23 non non ADJ ajst-19344 17 24 - - NOUN ajst-19344 17 25 stationarity stationarity NOUN ajst-19344 17 26 , , PUNCT ajst-19344 17 27 and and CCONJ ajst-19344 17 28 dynamic dynamic ADJ ajst-19344 17 29 changes change NOUN ajst-19344 17 30 during during ADP ajst-19344 17 31 surgery surgery NOUN ajst-19344 17 32 , , PUNCT ajst-19344 17 33 affecting affect VERB ajst-19344 17 34 the the DET ajst-19344 17 35 model model NOUN ajst-19344 17 36 's 's PART ajst-19344 17 37 generalization generalization NOUN ajst-19344 17 38 capability capability NOUN ajst-19344 17 39 and and CCONJ ajst-19344 17 40 accuracy accuracy NOUN ajst-19344 17 41 . . PUNCT ajst-19344 18 1 in in ADP ajst-19344 18 2 response response NOUN ajst-19344 18 3 , , PUNCT ajst-19344 18 4 traditional traditional ADJ ajst-19344 18 5 statistical statistical ADJ ajst-19344 18 6 methods method NOUN ajst-19344 18 7 like like ADP ajst-19344 18 8 arima[3 arima[3 ADV ajst-19344 18 9 ] ] PUNCT ajst-19344 18 10 use use NOUN ajst-19344 18 11 differencing difference VERB ajst-19344 18 12 to to PART ajst-19344 18 13 stabilize stabilize VERB ajst-19344 18 14 time time NOUN ajst-19344 18 15 series series NOUN ajst-19344 18 16 and and CCONJ ajst-19344 18 17 mitigate mitigate VERB ajst-19344 18 18 distribution distribution NOUN ajst-19344 18 19 shifts shift NOUN ajst-19344 18 20 . . PUNCT ajst-19344 19 1 for for ADP ajst-19344 19 2 deep deep ADJ ajst-19344 19 3 learning learning NOUN ajst-19344 19 4 models model NOUN ajst-19344 19 5 , , PUNCT ajst-19344 19 6 dealing deal VERB ajst-19344 19 7 with with ADP ajst-19344 19 8 non non ADJ ajst-19344 19 9 - - ADJ ajst-19344 19 10 stationarity stationarity ADJ ajst-19344 19 11 - - PUNCT ajst-19344 19 12 induced induce VERB ajst-19344 19 13 distribution distribution NOUN ajst-19344 19 14 changes change NOUN ajst-19344 19 15 is be AUX ajst-19344 19 16 more more ADJ ajst-19344 19 17 complex[4 complex[4 NOUN ajst-19344 19 18 ] ] PUNCT ajst-19344 19 19 . . PUNCT ajst-19344 20 1 standardization standardization NOUN ajst-19344 20 2 methods method NOUN ajst-19344 20 3 are be AUX ajst-19344 20 4 commonly commonly ADV ajst-19344 20 5 used use VERB ajst-19344 20 6 as as ADP ajst-19344 20 7 preprocessing preprocesse VERB ajst-19344 20 8 in in ADP ajst-19344 20 9 deep deep ADJ ajst-19344 20 10 learning learning NOUN ajst-19344 20 11 time time NOUN ajst-19344 20 12 series series PROPN ajst-19344 20 13 forecasting forecasting NOUN ajst-19344 20 14 models model NOUN ajst-19344 20 15 , , PUNCT ajst-19344 20 16 including include VERB ajst-19344 20 17 min min NOUN ajst-19344 20 18 - - ADJ ajst-19344 20 19 max max PROPN ajst-19344 20 20 and and CCONJ ajst-19344 20 21 z z NOUN ajst-19344 20 22 - - PUNCT ajst-19344 20 23 score score NOUN ajst-19344 20 24 normalization[5 normalization[5 NOUN ajst-19344 20 25 ] ] PUNCT ajst-19344 20 26 . . PUNCT ajst-19344 21 1 however however ADV ajst-19344 21 2 , , PUNCT ajst-19344 21 3 blood blood NOUN ajst-19344 21 4 pressure pressure NOUN ajst-19344 21 5 data datum NOUN ajst-19344 21 6 exhibits exhibit VERB ajst-19344 21 7 significant significant ADJ ajst-19344 21 8 variability variability NOUN ajst-19344 21 9 between between ADP ajst-19344 21 10 individuals individual NOUN ajst-19344 21 11 , , PUNCT ajst-19344 21 12 and and CCONJ ajst-19344 21 13 methods method NOUN ajst-19344 21 14 like like ADP ajst-19344 21 15 min min NOUN ajst-19344 21 16 - - ADJ ajst-19344 21 17 max max NOUN ajst-19344 21 18 normalization normalization NOUN ajst-19344 21 19 and and CCONJ ajst-19344 21 20 zscore zscore NOUN ajst-19344 21 21 normalization normalization NOUN ajst-19344 21 22 typically typically ADV ajst-19344 21 23 require require VERB ajst-19344 21 24 the the DET ajst-19344 21 25 use use NOUN ajst-19344 21 26 of of ADP ajst-19344 21 27 minimum minimum ADJ ajst-19344 21 28 , , PUNCT ajst-19344 21 29 maximum maximum ADJ ajst-19344 21 30 , , PUNCT ajst-19344 21 31 mean mean ADJ ajst-19344 21 32 and and CCONJ ajst-19344 21 33 standard standard ADJ ajst-19344 21 34 deviation deviation NOUN ajst-19344 21 35 values value NOUN ajst-19344 21 36 computed compute VERB ajst-19344 21 37 over over ADP ajst-19344 21 38 the the DET ajst-19344 21 39 entire entire ADJ ajst-19344 21 40 dataset dataset NOUN ajst-19344 21 41 . . PUNCT ajst-19344 22 1 relying rely VERB ajst-19344 22 2 solely solely ADV ajst-19344 22 3 on on ADP ajst-19344 22 4 these these DET ajst-19344 22 5 methods method NOUN ajst-19344 22 6 overlooks overlook VERB ajst-19344 22 7 the the DET ajst-19344 22 8 differences difference NOUN ajst-19344 22 9 between between ADP ajst-19344 22 10 individuals individual NOUN ajst-19344 22 11 and and CCONJ ajst-19344 22 12 is be AUX ajst-19344 22 13 not not PART ajst-19344 22 14 suitable suitable ADJ ajst-19344 22 15 for for ADP ajst-19344 22 16 dynamic dynamic ADJ ajst-19344 22 17 situations situation NOUN ajst-19344 22 18 . . PUNCT ajst-19344 23 1 subsequent subsequent ADJ ajst-19344 23 2 normalization normalization NOUN ajst-19344 23 3 techniques technique NOUN ajst-19344 23 4 have have AUX ajst-19344 23 5 been be AUX ajst-19344 23 6 proposed propose VERB ajst-19344 23 7 , , PUNCT ajst-19344 23 8 like like ADP ajst-19344 23 9 adaptive adaptive ADJ ajst-19344 23 10 norm norm NOUN ajst-19344 23 11 by by ADP ajst-19344 23 12 ogasawara ogasawara NOUN ajst-19344 23 13 et et PROPN ajst-19344 23 14 al.[6 al.[6 PROPN ajst-19344 23 15 ] ] PUNCT ajst-19344 23 16 , , PUNCT ajst-19344 23 17 which which PRON ajst-19344 23 18 uses use VERB ajst-19344 23 19 global global ADJ ajst-19344 23 20 statistics statistic NOUN ajst-19344 23 21 to to PART ajst-19344 23 22 perform perform VERB ajst-19344 23 23 zscore zscore NOUN ajst-19344 23 24 normalization normalization NOUN ajst-19344 23 25 . . PUNCT ajst-19344 24 1 but but CCONJ ajst-19344 24 2 this this PRON ajst-19344 24 3 still still ADV ajst-19344 24 4 relies rely VERB ajst-19344 24 5 on on ADP ajst-19344 24 6 a a DET ajst-19344 24 7 static static ADJ ajst-19344 24 8 and and CCONJ ajst-19344 24 9 global global ADJ ajst-19344 24 10 statistical statistical ADJ ajst-19344 24 11 description description NOUN ajst-19344 24 12 of of ADP ajst-19344 24 13 data datum NOUN ajst-19344 24 14 , , PUNCT ajst-19344 24 15 insufficient insufficient ADJ ajst-19344 24 16 for for ADP ajst-19344 24 17 capturing capture VERB ajst-19344 24 18 the the DET ajst-19344 24 19 dynamism dynamism NOUN ajst-19344 24 20 and and CCONJ ajst-19344 24 21 complexity complexity NOUN ajst-19344 24 22 of of ADP ajst-19344 24 23 time time NOUN ajst-19344 24 24 series series NOUN ajst-19344 24 25 . . PUNCT ajst-19344 25 1 to to PART ajst-19344 25 2 address address VERB ajst-19344 25 3 this this PRON ajst-19344 25 4 , , PUNCT ajst-19344 25 5 research research NOUN ajst-19344 25 6 has have AUX ajst-19344 25 7 attempted attempt VERB ajst-19344 25 8 to to PART ajst-19344 25 9 dynamically dynamically ADV ajst-19344 25 10 adjust adjust VERB ajst-19344 25 11 normalization normalization NOUN ajst-19344 25 12 parameters parameter NOUN ajst-19344 25 13 to to PART ajst-19344 25 14 adapt adapt VERB ajst-19344 25 15 to to ADP ajst-19344 25 16 data datum NOUN ajst-19344 25 17 changes change NOUN ajst-19344 25 18 . . PUNCT ajst-19344 26 1 dain dain NOUN ajst-19344 26 2 by by ADP ajst-19344 26 3 passalis passali NOUN ajst-19344 26 4 et et PROPN ajst-19344 26 5 al[7 al[7 NOUN ajst-19344 26 6 ] ] PUNCT ajst-19344 26 7 uses use VERB ajst-19344 26 8 a a DET ajst-19344 26 9 simple simple ADJ ajst-19344 26 10 nonlinear nonlinear ADJ ajst-19344 26 11 neural neural ADJ ajst-19344 26 12 network network NOUN ajst-19344 26 13 to to PART ajst-19344 26 14 adaptively adaptively ADV ajst-19344 26 15 457 457 NUM ajst-19344 26 16 normalize normalize NOUN ajst-19344 26 17 based base VERB ajst-19344 26 18 on on ADP ajst-19344 26 19 the the DET ajst-19344 26 20 observed observed ADJ ajst-19344 26 21 training training NOUN ajst-19344 26 22 distribution distribution NOUN ajst-19344 26 23 . . PUNCT ajst-19344 27 1 du du PROPN ajst-19344 27 2 et et PROPN ajst-19344 27 3 al[8 al[8 PROPN ajst-19344 27 4 ] ] PUNCT ajst-19344 27 5 introduced introduce VERB ajst-19344 27 6 adaptive adaptive ADJ ajst-19344 27 7 rnns rnns NOUN ajst-19344 27 8 for for ADP ajst-19344 27 9 dealing deal VERB ajst-19344 27 10 with with ADP ajst-19344 27 11 distribution distribution NOUN ajst-19344 27 12 shift shift NOUN ajst-19344 27 13 in in ADP ajst-19344 27 14 time time NOUN ajst-19344 27 15 series series NOUN ajst-19344 27 16 . . PUNCT ajst-19344 28 1 recently recently ADV ajst-19344 28 2 , , PUNCT ajst-19344 28 3 revin[9 revin[9 PROPN ajst-19344 28 4 ] ] PUNCT ajst-19344 28 5 introduced introduce VERB ajst-19344 28 6 two two NUM ajst-19344 28 7 - - PUNCT ajst-19344 28 8 stage stage NOUN ajst-19344 28 9 instance instance NOUN ajst-19344 28 10 normalization normalization NOUN ajst-19344 28 11 , , PUNCT ajst-19344 28 12 transforming transform VERB ajst-19344 28 13 both both DET ajst-19344 28 14 model model NOUN ajst-19344 28 15 inputs input NOUN ajst-19344 28 16 and and CCONJ ajst-19344 28 17 outputs output NOUN ajst-19344 28 18 to to PART ajst-19344 28 19 reduce reduce VERB ajst-19344 28 20 variations variation NOUN ajst-19344 28 21 within within ADP ajst-19344 28 22 each each DET ajst-19344 28 23 sequence sequence NOUN ajst-19344 28 24 , , PUNCT ajst-19344 28 25 aiming aim VERB ajst-19344 28 26 to to PART ajst-19344 28 27 standardize standardize VERB ajst-19344 28 28 features feature NOUN ajst-19344 28 29 while while SCONJ ajst-19344 28 30 preserving preserve VERB ajst-19344 28 31 useful useful ADJ ajst-19344 28 32 information information NOUN ajst-19344 28 33 . . PUNCT ajst-19344 29 1 these these DET ajst-19344 29 2 methods method NOUN ajst-19344 29 3 focus focus VERB ajst-19344 29 4 on on ADP ajst-19344 29 5 adaptive adaptive ADJ ajst-19344 29 6 normalization normalization NOUN ajst-19344 29 7 for for ADP ajst-19344 29 8 inputs input NOUN ajst-19344 29 9 and and CCONJ ajst-19344 29 10 outputs output NOUN ajst-19344 29 11 , , PUNCT ajst-19344 29 12 but but CCONJ ajst-19344 29 13 they they PRON ajst-19344 29 14 do do AUX ajst-19344 29 15 not not PART ajst-19344 29 16 consider consider VERB ajst-19344 29 17 how how SCONJ ajst-19344 29 18 the the DET ajst-19344 29 19 model model NOUN ajst-19344 29 20 internally internally ADV ajst-19344 29 21 handles handle VERB ajst-19344 29 22 the the DET ajst-19344 29 23 normalized normalize VERB ajst-19344 29 24 data datum NOUN ajst-19344 29 25 . . PUNCT ajst-19344 30 1 in in ADP ajst-19344 30 2 past past ADJ ajst-19344 30 3 blood blood NOUN ajst-19344 30 4 pressure pressure NOUN ajst-19344 30 5 prediction prediction NOUN ajst-19344 30 6 tasks[10,11 tasks[10,11 NOUN ajst-19344 30 7 ] ] PUNCT ajst-19344 30 8 , , PUNCT ajst-19344 30 9 normalization normalization NOUN ajst-19344 30 10 was be AUX ajst-19344 30 11 performed perform VERB ajst-19344 30 12 during during ADP ajst-19344 30 13 preprocessing preprocesse VERB ajst-19344 30 14 by by ADP ajst-19344 30 15 calculating calculate VERB ajst-19344 30 16 the the DET ajst-19344 30 17 dataset dataset NOUN ajst-19344 30 18 's 's PART ajst-19344 30 19 variance variance NOUN ajst-19344 30 20 and and CCONJ ajst-19344 30 21 mean mean VERB ajst-19344 30 22 . . PUNCT ajst-19344 31 1 the the DET ajst-19344 31 2 aim aim NOUN ajst-19344 31 3 was be AUX ajst-19344 31 4 to to PART ajst-19344 31 5 minimize minimize VERB ajst-19344 31 6 distribution distribution NOUN ajst-19344 31 7 differences difference NOUN ajst-19344 31 8 between between ADP ajst-19344 31 9 samples sample NOUN ajst-19344 31 10 and and CCONJ ajst-19344 31 11 mitigate mitigate VERB ajst-19344 31 12 the the DET ajst-19344 31 13 non non ADJ ajst-19344 31 14 - - NOUN ajst-19344 31 15 stationarity stationarity NOUN ajst-19344 31 16 of of ADP ajst-19344 31 17 the the DET ajst-19344 31 18 original original ADJ ajst-19344 31 19 time time NOUN ajst-19344 31 20 series series NOUN ajst-19344 31 21 , , PUNCT ajst-19344 31 22 thereby thereby ADV ajst-19344 31 23 enhancing enhance VERB ajst-19344 31 24 the the DET ajst-19344 31 25 stability stability NOUN ajst-19344 31 26 of of ADP ajst-19344 31 27 model model NOUN ajst-19344 31 28 predictions prediction NOUN ajst-19344 31 29 . . PUNCT ajst-19344 32 1 experimental experimental ADJ ajst-19344 32 2 validation validation NOUN ajst-19344 32 3 has have AUX ajst-19344 32 4 shown show VERB ajst-19344 32 5 that that SCONJ ajst-19344 32 6 this this DET ajst-19344 32 7 normalization normalization NOUN ajst-19344 32 8 process process NOUN ajst-19344 32 9 can can AUX ajst-19344 32 10 , , PUNCT ajst-19344 32 11 to to ADP ajst-19344 32 12 some some DET ajst-19344 32 13 extent extent NOUN ajst-19344 32 14 , , PUNCT ajst-19344 32 15 improve improve VERB ajst-19344 32 16 the the DET ajst-19344 32 17 predictability predictability NOUN ajst-19344 32 18 of of ADP ajst-19344 32 19 models model NOUN ajst-19344 32 20 in in ADP ajst-19344 32 21 intraoperative intraoperative ADJ ajst-19344 32 22 blood blood NOUN ajst-19344 32 23 pressure pressure NOUN ajst-19344 32 24 prediction prediction NOUN ajst-19344 32 25 tasks task NOUN ajst-19344 32 26 . . PUNCT ajst-19344 33 1 however however ADV ajst-19344 33 2 , , PUNCT ajst-19344 33 3 it it PRON ajst-19344 33 4 also also ADV ajst-19344 33 5 overlooks overlook VERB ajst-19344 33 6 the the DET ajst-19344 33 7 unique unique ADJ ajst-19344 33 8 non non ADJ ajst-19344 33 9 - - ADJ ajst-19344 33 10 stationary stationary ADJ ajst-19344 33 11 information information NOUN ajst-19344 33 12 within within ADP ajst-19344 33 13 samples sample NOUN ajst-19344 33 14 . . PUNCT ajst-19344 34 1 to to PART ajst-19344 34 2 overcome overcome VERB ajst-19344 34 3 the the DET ajst-19344 34 4 issue issue NOUN ajst-19344 34 5 of of ADP ajst-19344 34 6 distribution distribution NOUN ajst-19344 34 7 differences difference NOUN ajst-19344 34 8 while while SCONJ ajst-19344 34 9 effectively effectively ADV ajst-19344 34 10 utilizing utilize VERB ajst-19344 34 11 the the DET ajst-19344 34 12 dynamic dynamic ADJ ajst-19344 34 13 information information NOUN ajst-19344 34 14 in in ADP ajst-19344 34 15 physiological physiological ADJ ajst-19344 34 16 sequences sequence NOUN ajst-19344 34 17 , , PUNCT ajst-19344 34 18 this this DET ajst-19344 34 19 paper paper NOUN ajst-19344 34 20 develops develop VERB ajst-19344 34 21 distribution distribution NOUN ajst-19344 34 22 adaptive adaptive ADJ ajst-19344 34 23 attention attention NOUN ajst-19344 34 24 transformer transformer NOUN ajst-19344 34 25 （ （ PUNCT ajst-19344 34 26 dabpformerοΌ‰for dabpformerοΌ‰for ADP ajst-19344 34 27 blood blood NOUN ajst-19344 34 28 pressure pressure NOUN ajst-19344 34 29 prediction prediction NOUN ajst-19344 34 30 based base VERB ajst-19344 34 31 on on ADP ajst-19344 34 32 a a DET ajst-19344 34 33 nonstationary nonstationary ADJ ajst-19344 34 34 transformer[12 transformer[12 NOUN ajst-19344 34 35 ] ] PUNCT ajst-19344 34 36 model model NOUN ajst-19344 34 37 which which PRON ajst-19344 34 38 integrates integrate VERB ajst-19344 34 39 the the DET ajst-19344 34 40 statistical statistical ADJ ajst-19344 34 41 characteristics characteristic NOUN ajst-19344 34 42 of of ADP ajst-19344 34 43 input input NOUN ajst-19344 34 44 sequence sequence NOUN ajst-19344 34 45 blocks block NOUN ajst-19344 34 46 into into ADP ajst-19344 34 47 the the DET ajst-19344 34 48 attention attention NOUN ajst-19344 34 49 mechanism mechanism NOUN ajst-19344 34 50 , , PUNCT ajst-19344 34 51 enabling enable VERB ajst-19344 34 52 it it PRON ajst-19344 34 53 to to PART ajst-19344 34 54 adjust adjust VERB ajst-19344 34 55 weight weight NOUN ajst-19344 34 56 distribution distribution NOUN ajst-19344 34 57 according accord VERB ajst-19344 34 58 to to ADP ajst-19344 34 59 the the DET ajst-19344 34 60 statistical statistical ADJ ajst-19344 34 61 properties property NOUN ajst-19344 34 62 of of ADP ajst-19344 34 63 the the DET ajst-19344 34 64 data datum NOUN ajst-19344 34 65 . . PUNCT ajst-19344 35 1 the the DET ajst-19344 35 2 experimental experimental ADJ ajst-19344 35 3 results result NOUN ajst-19344 35 4 demonstrate demonstrate VERB ajst-19344 35 5 that that SCONJ ajst-19344 35 6 the the DET ajst-19344 35 7 distribution distribution NOUN ajst-19344 35 8 adaptation adaptation NOUN ajst-19344 35 9 strategy strategy NOUN ajst-19344 35 10 proposed propose VERB ajst-19344 35 11 in in ADP ajst-19344 35 12 this this DET ajst-19344 35 13 paper paper NOUN ajst-19344 35 14 performs perform VERB ajst-19344 35 15 exceptionally exceptionally ADV ajst-19344 35 16 well well ADV ajst-19344 35 17 in in ADP ajst-19344 35 18 intraoperative intraoperative ADJ ajst-19344 35 19 blood blood NOUN ajst-19344 35 20 pressure pressure NOUN ajst-19344 35 21 prediction prediction NOUN ajst-19344 35 22 tasks task NOUN ajst-19344 35 23 . . PUNCT ajst-19344 36 1 under under ADP ajst-19344 36 2 prediction prediction NOUN ajst-19344 36 3 lengths length NOUN ajst-19344 36 4 of of ADP ajst-19344 36 5 5 5 NUM ajst-19344 36 6 , , PUNCT ajst-19344 36 7 10 10 NUM ajst-19344 36 8 , , PUNCT ajst-19344 36 9 and and CCONJ ajst-19344 36 10 15 15 NUM ajst-19344 36 11 minutes minute NOUN ajst-19344 36 12 , , PUNCT ajst-19344 36 13 the the DET ajst-19344 36 14 actual actual ADJ ajst-19344 36 15 blood blood NOUN ajst-19344 36 16 pressure pressure NOUN ajst-19344 36 17 mean mean VERB ajst-19344 36 18 absolute absolute ADJ ajst-19344 36 19 error error NOUN ajst-19344 36 20 ( ( PUNCT ajst-19344 36 21 mae mae PROPN ajst-19344 36 22 ) ) PUNCT ajst-19344 36 23 was be AUX ajst-19344 36 24 3.221 3.221 NUM ajst-19344 36 25 , , PUNCT ajst-19344 36 26 3.636 3.636 NUM ajst-19344 36 27 , , PUNCT ajst-19344 36 28 and and CCONJ ajst-19344 36 29 3.846 3.846 NUM ajst-19344 36 30 , , PUNCT ajst-19344 36 31 respectively respectively ADV ajst-19344 36 32 . . PUNCT ajst-19344 37 1 compared compare VERB ajst-19344 37 2 to to ADP ajst-19344 37 3 the the DET ajst-19344 37 4 original original ADJ ajst-19344 37 5 baseline baseline NOUN ajst-19344 37 6 , , PUNCT ajst-19344 37 7 the the DET ajst-19344 37 8 root root NOUN ajst-19344 37 9 mean mean VERB ajst-19344 37 10 square square ADJ ajst-19344 37 11 error error NOUN ajst-19344 37 12 ( ( PUNCT ajst-19344 37 13 rmse rmse NOUN ajst-19344 37 14 ) ) PUNCT ajst-19344 37 15 decreased decrease VERB ajst-19344 37 16 by by ADP ajst-19344 37 17 4.07 4.07 NUM ajst-19344 37 18 % % NOUN ajst-19344 37 19 , , PUNCT ajst-19344 37 20 4.60 4.60 NUM ajst-19344 37 21 % % NOUN ajst-19344 37 22 , , PUNCT ajst-19344 37 23 4.47 4.47 NUM ajst-19344 37 24 % % NOUN ajst-19344 37 25 , , PUNCT ajst-19344 37 26 and and CCONJ ajst-19344 37 27 3.846 3.846 NUM ajst-19344 37 28 % % NOUN ajst-19344 37 29 , , PUNCT ajst-19344 37 30 respectively respectively ADV ajst-19344 37 31 , , PUNCT ajst-19344 37 32 indicating indicate VERB ajst-19344 37 33 that that SCONJ ajst-19344 37 34 the the DET ajst-19344 37 35 model model NOUN ajst-19344 37 36 can can AUX ajst-19344 37 37 predict predict VERB ajst-19344 37 38 intraoperative intraoperative ADJ ajst-19344 37 39 blood blood NOUN ajst-19344 37 40 pressure pressure NOUN ajst-19344 37 41 changes change VERB ajst-19344 37 42 more more ADV ajst-19344 37 43 accurately accurately ADV ajst-19344 37 44 . . PUNCT ajst-19344 38 1 2 2 X ajst-19344 38 2 . . X ajst-19344 38 3 methods method NOUN ajst-19344 38 4 2.1 2.1 NUM ajst-19344 38 5 . . PUNCT ajst-19344 39 1 problem problem NOUN ajst-19344 39 2 definition definition NOUN ajst-19344 39 3 the the DET ajst-19344 39 4 main main ADJ ajst-19344 39 5 goal goal NOUN ajst-19344 39 6 of of ADP ajst-19344 39 7 intraoperative intraoperative ADJ ajst-19344 39 8 blood blood NOUN ajst-19344 39 9 pressure pressure NOUN ajst-19344 39 10 prediction prediction NOUN ajst-19344 39 11 tasks task NOUN ajst-19344 39 12 is be AUX ajst-19344 39 13 to to PART ajst-19344 39 14 forecast forecast VERB ajst-19344 39 15 the the DET ajst-19344 39 16 continuous continuous ADJ ajst-19344 39 17 values value NOUN ajst-19344 39 18 of of ADP ajst-19344 39 19 blood blood NOUN ajst-19344 39 20 pressure pressure NOUN ajst-19344 39 21 for for ADP ajst-19344 39 22 a a DET ajst-19344 39 23 future future ADJ ajst-19344 39 24 period period NOUN ajst-19344 39 25 based base VERB ajst-19344 39 26 on on ADP ajst-19344 39 27 a a DET ajst-19344 39 28 segment segment NOUN ajst-19344 39 29 of of ADP ajst-19344 39 30 historical historical ADJ ajst-19344 39 31 physiological physiological ADJ ajst-19344 39 32 data datum NOUN ajst-19344 39 33 . . PUNCT ajst-19344 40 1 specifically specifically ADV ajst-19344 40 2 , , PUNCT ajst-19344 40 3 suppose suppose VERB ajst-19344 40 4 at at ADP ajst-19344 40 5 time time NOUN ajst-19344 40 6 𝑑 𝑑 VERB ajst-19344 40 7 there there PRON ajst-19344 40 8 are be VERB ajst-19344 40 9 𝑁 𝑁 PROPN ajst-19344 40 10 historical historical ADJ ajst-19344 40 11 physiological physiological ADJ ajst-19344 40 12 sequences sequence NOUN ajst-19344 40 13 𝑿 𝑿 PROPN ajst-19344 40 14 of of ADP ajst-19344 40 15 length length NOUN ajst-19344 40 16 𝐿 𝐿 PROPN ajst-19344 40 17 serving serve VERB ajst-19344 40 18 as as ADP ajst-19344 40 19 input input NOUN ajst-19344 40 20 , , PUNCT ajst-19344 40 21 where where SCONJ ajst-19344 40 22 𝑿 𝑿 PROPN ajst-19344 40 23 𝒙 𝒙 PROPN ajst-19344 40 24 , , PUNCT ajst-19344 40 25 … … PUNCT ajst-19344 40 26 , , PUNCT ajst-19344 40 27 𝒙 𝒙 NUM ajst-19344 40 28 ∣ ∣ ADJ ajst-19344 40 29 𝒙 𝒙 PROPN ajst-19344 40 30 ∈ ∈ NOUN ajst-19344 40 31 ℝ ℝ PROPN ajst-19344 40 32 . . PUNCT ajst-19344 41 1 under under ADP ajst-19344 41 2 a a DET ajst-19344 41 3 prediction prediction NOUN ajst-19344 41 4 span span NOUN ajst-19344 41 5 of of ADP ajst-19344 41 6 length length NOUN ajst-19344 41 7 𝐿 𝐿 PROPN ajst-19344 41 8 , , PUNCT ajst-19344 41 9 the the DET ajst-19344 41 10 model model NOUN ajst-19344 41 11 outputs output VERB ajst-19344 41 12 𝒀 𝒀 PROPN ajst-19344 41 13 π’š π’š PROPN ajst-19344 41 14 , , PUNCT ajst-19344 41 15 … … PUNCT ajst-19344 41 16 , , PUNCT ajst-19344 41 17 π’š π’š PROPN ajst-19344 41 18 ∣ ∣ PROPN ajst-19344 41 19 π’š π’š PROPN ajst-19344 41 20 ∈ ∈ PROPN ajst-19344 41 21 ℝ ℝ PROPN ajst-19344 41 22 , , PUNCT ajst-19344 41 23 with with ADP ajst-19344 41 24 𝑝 𝑝 NOUN ajst-19344 41 25 3 3 NUM ajst-19344 41 26 representing represent VERB ajst-19344 41 27 the the DET ajst-19344 41 28 three three NUM ajst-19344 41 29 blood blood NOUN ajst-19344 41 30 pressure pressure NOUN ajst-19344 41 31 measures measure NOUN ajst-19344 41 32 to to PART ajst-19344 41 33 predict predict VERB ajst-19344 41 34 : : PUNCT ajst-19344 41 35 systolic systolic ADJ ajst-19344 41 36 blood blood NOUN ajst-19344 41 37 pressure(sbp pressure(sbp NOUN ajst-19344 41 38 ) ) PUNCT ajst-19344 41 39 , , PUNCT ajst-19344 41 40 mean mean VERB ajst-19344 41 41 arterial arterial NOUN ajst-19344 41 42 pressure(map pressure(map NOUN ajst-19344 41 43 ) ) PUNCT ajst-19344 41 44 , , PUNCT ajst-19344 41 45 diastolic diastolic ADJ ajst-19344 41 46 blood blood NOUN ajst-19344 41 47 pressure(dbp pressure(dbp NOUN ajst-19344 41 48 ) ) PUNCT ajst-19344 41 49 . . PUNCT ajst-19344 42 1 2.2 2.2 NUM ajst-19344 42 2 . . PUNCT ajst-19344 42 3 model model NOUN ajst-19344 42 4 structure structure NOUN ajst-19344 42 5 the the DET ajst-19344 42 6 blood blood NOUN ajst-19344 42 7 pressure pressure NOUN ajst-19344 42 8 prediction prediction NOUN ajst-19344 42 9 model model NOUN ajst-19344 42 10 constructed construct VERB ajst-19344 42 11 in in ADP ajst-19344 42 12 this this DET ajst-19344 42 13 paper paper NOUN ajst-19344 42 14 with with ADP ajst-19344 42 15 distribution distribution NOUN ajst-19344 42 16 adaptive adaptive ADJ ajst-19344 42 17 attention attention NOUN ajst-19344 42 18 is be AUX ajst-19344 42 19 illustrated illustrate VERB ajst-19344 42 20 in in ADP ajst-19344 42 21 the the DET ajst-19344 42 22 figure figure NOUN ajst-19344 42 23 2 2 NUM ajst-19344 42 24 : : PUNCT ajst-19344 42 25 figure figure VERB ajst-19344 42 26 2 2 NUM ajst-19344 42 27 distribution distribution NOUN ajst-19344 42 28 - - PUNCT ajst-19344 42 29 adaptive adaptive ADJ ajst-19344 42 30 attention attention NOUN ajst-19344 42 31 architecture architecture NOUN ajst-19344 42 32 the the DET ajst-19344 42 33 architecture architecture NOUN ajst-19344 42 34 adopts adopt VERB ajst-19344 42 35 an an DET ajst-19344 42 36 informer informer NOUN ajst-19344 42 37 - - PUNCT ajst-19344 42 38 style[13 style[13 NOUN ajst-19344 42 39 ] ] PUNCT ajst-19344 42 40 encoderdecoder encoderdecoder NOUN ajst-19344 42 41 which which PRON ajst-19344 42 42 mainly mainly ADV ajst-19344 42 43 includes include VERB ajst-19344 42 44 convolutional convolutional ADJ ajst-19344 42 45 attention attention NOUN ajst-19344 42 46 layers layer NOUN ajst-19344 42 47 , , PUNCT ajst-19344 42 48 normalization normalization NOUN ajst-19344 42 49 layers layer NOUN ajst-19344 42 50 , , PUNCT ajst-19344 42 51 and and CCONJ ajst-19344 42 52 self self NOUN ajst-19344 42 53 - - PUNCT ajst-19344 42 54 attention attention NOUN ajst-19344 42 55 distillation distillation NOUN ajst-19344 42 56 layers layer NOUN ajst-19344 42 57 . . PUNCT ajst-19344 43 1 initially initially ADV ajst-19344 43 2 , , PUNCT ajst-19344 43 3 the the DET ajst-19344 43 4 input input NOUN ajst-19344 43 5 sequence sequence NOUN ajst-19344 43 6 𝑿 𝑿 PROPN ajst-19344 43 7 is be AUX ajst-19344 43 8 a a DET ajst-19344 43 9 sample sample NOUN ajst-19344 43 10 undergone undergo VERB ajst-19344 43 11 global global ADJ ajst-19344 43 12 normalization normalization NOUN ajst-19344 43 13 , , PUNCT ajst-19344 43 14 which which PRON ajst-19344 43 15 serves serve VERB ajst-19344 43 16 as as ADP ajst-19344 43 17 the the DET ajst-19344 43 18 input input NOUN ajst-19344 43 19 to to ADP ajst-19344 43 20 the the DET ajst-19344 43 21 encoder encoder NOUN ajst-19344 43 22 . . PUNCT ajst-19344 44 1 the the DET ajst-19344 44 2 input input NOUN ajst-19344 44 3 passes pass VERB ajst-19344 44 4 through through ADP ajst-19344 44 5 two two NUM ajst-19344 44 6 attention attention NOUN ajst-19344 44 7 layers layer NOUN ajst-19344 44 8 . . PUNCT ajst-19344 45 1 the the DET ajst-19344 45 2 attention attention NOUN ajst-19344 45 3 layer layer NOUN ajst-19344 45 4 employs employ VERB ajst-19344 45 5 a a DET ajst-19344 45 6 convolutional convolutional ADJ ajst-19344 45 7 attention attention NOUN ajst-19344 45 8 mechanism[14 mechanism[14 PROPN ajst-19344 45 9 ] ] PUNCT ajst-19344 45 10 , , PUNCT ajst-19344 45 11 acting act VERB ajst-19344 45 12 as as ADP ajst-19344 45 13 a a DET ajst-19344 45 14 feature feature NOUN ajst-19344 45 15 extraction extraction NOUN ajst-19344 45 16 layer layer NOUN ajst-19344 45 17 . . PUNCT ajst-19344 46 1 to to PART ajst-19344 46 2 further far ADV ajst-19344 46 3 reduce reduce VERB ajst-19344 46 4 the the DET ajst-19344 46 5 complexity complexity NOUN ajst-19344 46 6 of of ADP ajst-19344 46 7 the the DET ajst-19344 46 8 attention attention NOUN ajst-19344 46 9 mechanism mechanism NOUN ajst-19344 46 10 , , PUNCT ajst-19344 46 11 the the DET ajst-19344 46 12 informer informer NOUN ajst-19344 46 13 's 's PART ajst-19344 46 14 π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ PROPN ajst-19344 46 15 selfattention selfattention NOUN ajst-19344 46 16 is be AUX ajst-19344 46 17 employed employ VERB ajst-19344 46 18 to to PART ajst-19344 46 19 extract extract VERB ajst-19344 46 20 significant significant ADJ ajst-19344 46 21 queries query NOUN ajst-19344 46 22 and and CCONJ ajst-19344 46 23 keys key NOUN ajst-19344 46 24 from from ADP ajst-19344 46 25 the the DET ajst-19344 46 26 convolutional convolutional ADJ ajst-19344 46 27 attention attention NOUN ajst-19344 46 28 mechanism mechanism NOUN ajst-19344 46 29 , , PUNCT ajst-19344 46 30 decreasing decrease VERB ajst-19344 46 31 the the DET ajst-19344 46 32 spatiotemporal spatiotemporal ADJ ajst-19344 46 33 complexity complexity NOUN ajst-19344 46 34 of of ADP ajst-19344 46 35 the the DET ajst-19344 46 36 attention attention NOUN ajst-19344 46 37 mechanism mechanism NOUN ajst-19344 46 38 to to ADP ajst-19344 46 39 𝑂 𝑂 PROPN ajst-19344 46 40 πΏπ‘™π‘œπ‘” πΏπ‘™π‘œπ‘” PROPN ajst-19344 46 41 𝐿 𝐿 PROPN ajst-19344 46 42 . . PUNCT ajst-19344 47 1 finally finally ADV ajst-19344 47 2 , , PUNCT ajst-19344 47 3 through through ADP ajst-19344 47 4 the the DET ajst-19344 47 5 self self NOUN ajst-19344 47 6 - - PUNCT ajst-19344 47 7 attention attention NOUN ajst-19344 47 8 distillation distillation NOUN ajst-19344 47 9 layer layer NOUN ajst-19344 47 10 , , PUNCT ajst-19344 47 11 redundancy redundancy NOUN ajst-19344 47 12 in in ADP ajst-19344 47 13 the the DET ajst-19344 47 14 feature feature NOUN ajst-19344 47 15 maps map NOUN ajst-19344 47 16 is be AUX ajst-19344 47 17 eliminated eliminate VERB ajst-19344 47 18 , , PUNCT ajst-19344 47 19 further far ADV ajst-19344 47 20 reducing reduce VERB ajst-19344 47 21 the the DET ajst-19344 47 22 temporal temporal ADJ ajst-19344 47 23 dimension dimension NOUN ajst-19344 47 24 of of ADP ajst-19344 47 25 the the DET ajst-19344 47 26 input input NOUN ajst-19344 47 27 and and CCONJ ajst-19344 47 28 allowing allow VERB ajst-19344 47 29 the the DET ajst-19344 47 30 model model NOUN ajst-19344 47 31 to to PART ajst-19344 47 32 focus focus VERB ajst-19344 47 33 more more ADV ajst-19344 47 34 on on ADP ajst-19344 47 35 the the DET ajst-19344 47 36 dominant dominant ADJ ajst-19344 47 37 features feature NOUN ajst-19344 47 38 . . PUNCT ajst-19344 48 1 the the DET ajst-19344 48 2 input input NOUN ajst-19344 48 3 to to ADP ajst-19344 48 4 the the DET ajst-19344 48 5 decoder decoder NOUN ajst-19344 48 6 𝑿de 𝑿de PROPN ajst-19344 48 7 , , PUNCT ajst-19344 48 8 serves serve VERB ajst-19344 48 9 as as ADP ajst-19344 48 10 a a DET ajst-19344 48 11 representation representation NOUN ajst-19344 48 12 of of ADP ajst-19344 48 13 the the DET ajst-19344 48 14 predicted predict VERB ajst-19344 48 15 target target NOUN ajst-19344 48 16 blood blood NOUN ajst-19344 48 17 pressure pressure NOUN ajst-19344 48 18 series series NOUN ajst-19344 48 19 . . PUNCT ajst-19344 49 1 the the DET ajst-19344 49 2 input input NOUN ajst-19344 49 3 goes go VERB ajst-19344 49 4 through through ADP ajst-19344 49 5 two two NUM ajst-19344 49 6 multi multi ADJ ajst-19344 49 7 - - ADJ ajst-19344 49 8 head head ADJ ajst-19344 49 9 convolutional convolutional ADJ ajst-19344 49 10 attention attention NOUN ajst-19344 49 11 layers layer NOUN ajst-19344 49 12 , , PUNCT ajst-19344 49 13 one one NUM ajst-19344 49 14 of of ADP ajst-19344 49 15 which which PRON ajst-19344 49 16 is be AUX ajst-19344 49 17 a a DET ajst-19344 49 18 cross cross ADJ ajst-19344 49 19 - - ADJ ajst-19344 49 20 attention attention ADJ ajst-19344 49 21 layer layer NOUN ajst-19344 49 22 that that PRON ajst-19344 49 23 receives receive VERB ajst-19344 49 24 information information NOUN ajst-19344 49 25 from from ADP ajst-19344 49 26 the the DET ajst-19344 49 27 encoder encoder NOUN ajst-19344 49 28 . . PUNCT ajst-19344 50 1 this this DET ajst-19344 50 2 cross cross ADJ ajst-19344 50 3 - - ADJ ajst-19344 50 4 attention attention ADJ ajst-19344 50 5 layer layer NOUN ajst-19344 50 6 correlates correlate VERB ajst-19344 50 7 the the DET ajst-19344 50 8 current current ADJ ajst-19344 50 9 time time NOUN ajst-19344 50 10 step step NOUN ajst-19344 50 11 representation representation NOUN ajst-19344 50 12 of of ADP ajst-19344 50 13 the the DET ajst-19344 50 14 decoder decoder NOUN ajst-19344 50 15 with with ADP ajst-19344 50 16 the the DET ajst-19344 50 17 encoder encoder NOUN ajst-19344 50 18 's 's PART ajst-19344 50 19 output output NOUN ajst-19344 50 20 representation representation NOUN ajst-19344 50 21 , , PUNCT ajst-19344 50 22 thereby thereby ADV ajst-19344 50 23 capturing capture VERB ajst-19344 50 24 information information NOUN ajst-19344 50 25 related relate VERB ajst-19344 50 26 to to ADP ajst-19344 50 27 the the DET ajst-19344 50 28 target target NOUN ajst-19344 50 29 blood blood NOUN ajst-19344 50 30 pressure pressure NOUN ajst-19344 50 31 prediction prediction NOUN ajst-19344 50 32 in in ADP ajst-19344 50 33 the the DET ajst-19344 50 34 source source NOUN ajst-19344 50 35 sequence sequence NOUN ajst-19344 50 36 . . PUNCT ajst-19344 51 1 finally finally ADV ajst-19344 51 2 , , PUNCT ajst-19344 51 3 a a DET ajst-19344 51 4 fully fully ADV ajst-19344 51 5 connected connect VERB ajst-19344 51 6 layer layer NOUN ajst-19344 51 7 is be AUX ajst-19344 51 8 used use VERB ajst-19344 51 9 to to PART ajst-19344 51 10 output output VERB ajst-19344 51 11 the the DET ajst-19344 51 12 predicted predict VERB ajst-19344 51 13 target target NOUN ajst-19344 51 14 sequence sequence NOUN ajst-19344 51 15 𝒀 𝒀 NOUN ajst-19344 51 16 all all PRON ajst-19344 51 17 at at ADV ajst-19344 51 18 once once ADV ajst-19344 51 19 . . PUNCT ajst-19344 52 1 this this DET ajst-19344 52 2 approach approach NOUN ajst-19344 52 3 avoids avoid VERB ajst-19344 52 4 the the DET ajst-19344 52 5 error error NOUN ajst-19344 52 6 accumulation accumulation NOUN ajst-19344 52 7 that that PRON ajst-19344 52 8 can can AUX ajst-19344 52 9 occur occur VERB ajst-19344 52 10 with with ADP ajst-19344 52 11 the the DET ajst-19344 52 12 original original ADJ ajst-19344 52 13 decoder decoder NOUN ajst-19344 52 14 architecture architecture NOUN ajst-19344 52 15 's 's PART ajst-19344 52 16 step step NOUN ajst-19344 52 17 - - PUNCT ajst-19344 52 18 by by ADP ajst-19344 52 19 - - PUNCT ajst-19344 52 20 step step NOUN ajst-19344 52 21 inference inference NOUN ajst-19344 52 22 and and CCONJ ajst-19344 52 23 is be AUX ajst-19344 52 24 also also ADV ajst-19344 52 25 used use VERB ajst-19344 52 26 to to PART ajst-19344 52 27 alleviate alleviate VERB ajst-19344 52 28 the the DET ajst-19344 52 29 decrease decrease NOUN ajst-19344 52 30 in in ADP ajst-19344 52 31 inference inference NOUN ajst-19344 52 32 speed speed NOUN ajst-19344 52 33 that that PRON ajst-19344 52 34 can can AUX ajst-19344 52 35 occur occur VERB ajst-19344 52 36 with with ADP ajst-19344 52 37 long long ADJ ajst-19344 52 38 sequence sequence NOUN ajst-19344 52 39 predictions prediction NOUN ajst-19344 52 40 . . PUNCT ajst-19344 53 1 458 458 NUM ajst-19344 53 2 2.3 2.3 NUM ajst-19344 53 3 . . PUNCT ajst-19344 54 1 convolutional convolutional ADJ ajst-19344 54 2 attention attention NOUN ajst-19344 54 3 during during ADP ajst-19344 54 4 intraoperative intraoperative ADJ ajst-19344 54 5 blood blood NOUN ajst-19344 54 6 pressure pressure NOUN ajst-19344 54 7 prediction prediction NOUN ajst-19344 54 8 tasks task NOUN ajst-19344 54 9 , , PUNCT ajst-19344 54 10 the the DET ajst-19344 54 11 evolution evolution NOUN ajst-19344 54 12 of of ADP ajst-19344 54 13 blood blood NOUN ajst-19344 54 14 pressure pressure NOUN ajst-19344 54 15 sequence sequence NOUN ajst-19344 54 16 patterns pattern NOUN ajst-19344 54 17 may may AUX ajst-19344 54 18 be be AUX ajst-19344 54 19 significantly significantly ADV ajst-19344 54 20 influenced influence VERB ajst-19344 54 21 by by ADP ajst-19344 54 22 various various ADJ ajst-19344 54 23 events event NOUN ajst-19344 54 24 , , PUNCT ajst-19344 54 25 such such ADJ ajst-19344 54 26 as as ADP ajst-19344 54 27 drug drug NOUN ajst-19344 54 28 injections injection NOUN ajst-19344 54 29 or or CCONJ ajst-19344 54 30 changes change NOUN ajst-19344 54 31 in in ADP ajst-19344 54 32 the the DET ajst-19344 54 33 external external ADJ ajst-19344 54 34 environment[15 environment[15 NOUN ajst-19344 54 35 ] ] PUNCT ajst-19344 54 36 . . PUNCT ajst-19344 55 1 therefore therefore ADV ajst-19344 55 2 , , PUNCT ajst-19344 55 3 whether whether SCONJ ajst-19344 55 4 an an DET ajst-19344 55 5 observation observation NOUN ajst-19344 55 6 point point NOUN ajst-19344 55 7 is be AUX ajst-19344 55 8 considered consider VERB ajst-19344 55 9 an an DET ajst-19344 55 10 anomaly anomaly NOUN ajst-19344 55 11 , , PUNCT ajst-19344 55 12 a a DET ajst-19344 55 13 change change NOUN ajst-19344 55 14 point point NOUN ajst-19344 55 15 , , PUNCT ajst-19344 55 16 or or CCONJ ajst-19344 55 17 part part NOUN ajst-19344 55 18 of of ADP ajst-19344 55 19 a a DET ajst-19344 55 20 pattern pattern NOUN ajst-19344 55 21 largely largely ADV ajst-19344 55 22 depends depend VERB ajst-19344 55 23 on on ADP ajst-19344 55 24 its its PRON ajst-19344 55 25 surrounding surround VERB ajst-19344 55 26 context context NOUN ajst-19344 55 27 . . PUNCT ajst-19344 56 1 the the DET ajst-19344 56 2 segments segment NOUN ajst-19344 56 3 of of ADP ajst-19344 56 4 the the DET ajst-19344 56 5 blood blood NOUN ajst-19344 56 6 pressure pressure NOUN ajst-19344 56 7 sequence sequence NOUN ajst-19344 56 8 extracted extract VERB ajst-19344 56 9 from from ADP ajst-19344 56 10 the the DET ajst-19344 56 11 data datum NOUN ajst-19344 56 12 are be AUX ajst-19344 56 13 shown show VERB ajst-19344 56 14 in in ADP ajst-19344 56 15 figure figure NOUN ajst-19344 56 16 3 3 NUM ajst-19344 56 17 , , PUNCT ajst-19344 56 18 where where SCONJ ajst-19344 56 19 there there PRON ajst-19344 56 20 is be VERB ajst-19344 56 21 an an DET ajst-19344 56 22 evident evident ADJ ajst-19344 56 23 local local ADJ ajst-19344 56 24 similarity similarity NOUN ajst-19344 56 25 in in ADP ajst-19344 56 26 the the DET ajst-19344 56 27 blood blood NOUN ajst-19344 56 28 pressure pressure NOUN ajst-19344 56 29 sequence sequence NOUN ajst-19344 56 30 , , PUNCT ajst-19344 56 31 that that ADV ajst-19344 56 32 is is ADV ajst-19344 56 33 , , PUNCT ajst-19344 56 34 similar similar ADJ ajst-19344 56 35 rhythms rhythm NOUN ajst-19344 56 36 exist exist VERB ajst-19344 56 37 at at ADP ajst-19344 56 38 different different ADJ ajst-19344 56 39 times time NOUN ajst-19344 56 40 . . PUNCT ajst-19344 57 1 figure figure VERB ajst-19344 57 2 3 3 NUM ajst-19344 57 3 blood blood NOUN ajst-19344 57 4 pressure pressure NOUN ajst-19344 57 5 segment segment NOUN ajst-19344 57 6 however however ADV ajst-19344 57 7 , , PUNCT ajst-19344 57 8 in in ADP ajst-19344 57 9 the the DET ajst-19344 57 10 traditional traditional ADJ ajst-19344 57 11 transformer[16 transformer[16 NOUN ajst-19344 57 12 ] ] X ajst-19344 57 13 self self NOUN ajst-19344 57 14 - - PUNCT ajst-19344 57 15 attention attention NOUN ajst-19344 57 16 layer layer NOUN ajst-19344 57 17 , , PUNCT ajst-19344 57 18 the the DET ajst-19344 57 19 similarity similarity NOUN ajst-19344 57 20 between between ADP ajst-19344 57 21 queries query NOUN ajst-19344 57 22 and and CCONJ ajst-19344 57 23 keys key NOUN ajst-19344 57 24 is be AUX ajst-19344 57 25 calculated calculate VERB ajst-19344 57 26 based base VERB ajst-19344 57 27 on on ADP ajst-19344 57 28 their their PRON ajst-19344 57 29 pointwise pointwise ADJ ajst-19344 57 30 numerical numerical ADJ ajst-19344 57 31 values value NOUN ajst-19344 57 32 , , PUNCT ajst-19344 57 33 which which PRON ajst-19344 57 34 does do AUX ajst-19344 57 35 not not PART ajst-19344 57 36 fully fully ADV ajst-19344 57 37 utilize utilize VERB ajst-19344 57 38 information information NOUN ajst-19344 57 39 such such ADJ ajst-19344 57 40 as as ADP ajst-19344 57 41 the the DET ajst-19344 57 42 shape shape NOUN ajst-19344 57 43 of of ADP ajst-19344 57 44 the the DET ajst-19344 57 45 local local ADJ ajst-19344 57 46 context context NOUN ajst-19344 57 47 . . PUNCT ajst-19344 58 1 figure figure VERB ajst-19344 58 2 4 4 NUM ajst-19344 58 3 schematic schematic ADJ ajst-19344 58 4 of of ADP ajst-19344 58 5 convolutional convolutional ADJ ajst-19344 58 6 attention attention NOUN ajst-19344 58 7 to to PART ajst-19344 58 8 introduce introduce VERB ajst-19344 58 9 local local ADJ ajst-19344 58 10 information information NOUN ajst-19344 58 11 from from ADP ajst-19344 58 12 the the DET ajst-19344 58 13 sequence sequence NOUN ajst-19344 58 14 to to PART ajst-19344 58 15 better well ADV ajst-19344 58 16 capture capture VERB ajst-19344 58 17 temporal temporal ADJ ajst-19344 58 18 correlations correlation NOUN ajst-19344 58 19 , , PUNCT ajst-19344 58 20 trends trend NOUN ajst-19344 58 21 , , PUNCT ajst-19344 58 22 and and CCONJ ajst-19344 58 23 anomalies anomaly NOUN ajst-19344 58 24 , , PUNCT ajst-19344 58 25 a a DET ajst-19344 58 26 convolutional convolutional ADJ ajst-19344 58 27 attention attention NOUN ajst-19344 58 28 mechanism mechanism NOUN ajst-19344 58 29 is be AUX ajst-19344 58 30 constructed construct VERB ajst-19344 58 31 as as SCONJ ajst-19344 58 32 shown show VERB ajst-19344 58 33 in in ADP ajst-19344 58 34 the the DET ajst-19344 58 35 figure figure NOUN ajst-19344 58 36 4 4 NUM ajst-19344 58 37 . . PUNCT ajst-19344 59 1 in in ADP ajst-19344 59 2 the the DET ajst-19344 59 3 convolutional convolutional ADJ ajst-19344 59 4 attention attention NOUN ajst-19344 59 5 layer[14 layer[14 PROPN ajst-19344 59 6 ] ] PUNCT ajst-19344 59 7 , , PUNCT ajst-19344 59 8 the the PRON ajst-19344 59 9 multi multi ADJ ajst-19344 59 10 - - ADJ ajst-19344 59 11 head head ADJ ajst-19344 59 12 attention attention NOUN ajst-19344 59 13 sub sub NOUN ajst-19344 59 14 - - NOUN ajst-19344 59 15 layer layer NOUN ajst-19344 59 16 transforms transform VERB ajst-19344 59 17 the the DET ajst-19344 59 18 hidden hide VERB ajst-19344 59 19 layer layer NOUN ajst-19344 59 20 𝐻 𝐻 PROPN ajst-19344 59 21 ∈ ∈ NOUN ajst-19344 59 22 ℝ ℝ NOUN ajst-19344 59 23 into into ADP ajst-19344 59 24 β„Ž β„Ž PROPN ajst-19344 59 25 different different ADJ ajst-19344 59 26 query query NOUN ajst-19344 59 27 matrices matrice VERB ajst-19344 59 28 𝑄 𝑄 PRON ajst-19344 59 29 , , PUNCT ajst-19344 59 30 key key ADJ ajst-19344 59 31 matrices matrix NOUN ajst-19344 59 32 𝐾 𝐾 PROPN ajst-19344 59 33 , , PUNCT ajst-19344 59 34 and and CCONJ ajst-19344 59 35 value value NOUN ajst-19344 59 36 matrices matrix NOUN ajst-19344 59 37 𝑉 𝑉 PROPN ajst-19344 59 38 , , PUNCT ajst-19344 59 39 𝑄 𝑄 PROPN ajst-19344 59 40 、 、 NOUN ajst-19344 59 41 𝐾 𝐾 PROPN ajst-19344 59 42 , , PUNCT ajst-19344 59 43 use use VERB ajst-19344 59 44 a a DET ajst-19344 59 45 onedimensional onedimensional ADJ ajst-19344 59 46 convolution convolution NOUN ajst-19344 59 47 with with ADP ajst-19344 59 48 kernel kernel PROPN ajst-19344 59 49 size size NOUN ajst-19344 59 50 k k PROPN ajst-19344 59 51 and and CCONJ ajst-19344 59 52 stride stride NOUN ajst-19344 59 53 1 1 NUM ajst-19344 59 54 ( ( PUNCT ajst-19344 59 55 with with ADP ajst-19344 59 56 zero zero NUM ajst-19344 59 57 - - PUNCT ajst-19344 59 58 padding padding NOUN ajst-19344 59 59 as as ADP ajst-19344 59 60 appropriate appropriate ADJ ajst-19344 59 61 to to PART ajst-19344 59 62 maintain maintain VERB ajst-19344 59 63 dimension dimension NOUN ajst-19344 59 64 size),that size),that PRON ajst-19344 59 65 is be AUX ajst-19344 59 66 , , PUNCT ajst-19344 59 67 𝑄 𝑄 PROPN ajst-19344 59 68 π»π‘Š π»π‘Š PROPN ajst-19344 59 69 , , PUNCT ajst-19344 59 70 𝐾 𝐾 PROPN ajst-19344 59 71 π»π‘Š π»π‘Š PROPN ajst-19344 59 72 , , PUNCT ajst-19344 59 73 while while SCONJ ajst-19344 59 74 𝑉 𝑉 PROPN ajst-19344 59 75 is be AUX ajst-19344 59 76 constructed construct VERB ajst-19344 59 77 using use VERB ajst-19344 59 78 a a DET ajst-19344 59 79 convolution convolution NOUN ajst-19344 59 80 kernel kernel NOUN ajst-19344 59 81 size size NOUN ajst-19344 59 82 of of ADP ajst-19344 59 83 1 1 NUM ajst-19344 59 84 , , PUNCT ajst-19344 59 85 𝑉 𝑉 PROPN ajst-19344 59 86 π»π‘Š π»π‘Š PROPN ajst-19344 59 87 , , PUNCT ajst-19344 59 88 which which PRON ajst-19344 59 89 is be AUX ajst-19344 59 90 equivalent equivalent ADJ ajst-19344 59 91 to to ADP ajst-19344 59 92 a a DET ajst-19344 59 93 linear linear ADJ ajst-19344 59 94 transformation transformation NOUN ajst-19344 59 95 . . PUNCT ajst-19344 60 1 π‘Š π‘Š NOUN ajst-19344 60 2 represents represent VERB ajst-19344 60 3 the the DET ajst-19344 60 4 parameter parameter NOUN ajst-19344 60 5 matrix matrix NOUN ajst-19344 60 6 , , PUNCT ajst-19344 60 7 with with ADP ajst-19344 60 8 π‘Š π‘Š PROPN ajst-19344 60 9 , , PUNCT ajst-19344 60 10 π‘Š π‘Š PROPN ajst-19344 60 11 ∈ ∈ PROPN ajst-19344 60 12 ℝ ℝ NOUN ajst-19344 60 13 and and CCONJ ajst-19344 60 14 π‘Š π‘Š PROPN ajst-19344 60 15 ∈ ∈ NOUN ajst-19344 60 16 ℝ ℝ PROPN ajst-19344 60 17 . . PUNCT ajst-19344 61 1 the the DET ajst-19344 61 2 𝑄 𝑄 PROPN ajst-19344 61 3 and and CCONJ ajst-19344 61 4 𝐾 𝐾 PROPN ajst-19344 61 5 generated generate VERB ajst-19344 61 6 in in ADP ajst-19344 61 7 this this DET ajst-19344 61 8 way way NOUN ajst-19344 61 9 can can AUX ajst-19344 61 10 calculate calculate VERB ajst-19344 61 11 similarity similarity NOUN ajst-19344 61 12 through through ADP ajst-19344 61 13 local local ADJ ajst-19344 61 14 context context NOUN ajst-19344 61 15 information information NOUN ajst-19344 61 16 rather rather ADV ajst-19344 61 17 than than ADP ajst-19344 61 18 pointwise pointwise VERB ajst-19344 61 19 values value NOUN ajst-19344 61 20 , , PUNCT ajst-19344 61 21 thus thus ADV ajst-19344 61 22 better well ADV ajst-19344 61 23 capturing capture VERB ajst-19344 61 24 local local ADJ ajst-19344 61 25 features feature NOUN ajst-19344 61 26 in in ADP ajst-19344 61 27 blood blood NOUN ajst-19344 61 28 pressure pressure NOUN ajst-19344 61 29 . . PUNCT ajst-19344 62 1 secondly secondly ADV ajst-19344 62 2 , , PUNCT ajst-19344 62 3 when when SCONJ ajst-19344 62 4 calculating calculate VERB ajst-19344 62 5 attention attention NOUN ajst-19344 62 6 on on ADP ajst-19344 62 7 sequences sequence NOUN ajst-19344 62 8 , , PUNCT ajst-19344 62 9 only only ADV ajst-19344 62 10 some some DET ajst-19344 62 11 dot dot NOUN ajst-19344 62 12 product product NOUN ajst-19344 62 13 pairs pair NOUN ajst-19344 62 14 contribute contribute VERB ajst-19344 62 15 to to ADP ajst-19344 62 16 the the DET ajst-19344 62 17 main main ADJ ajst-19344 62 18 attention attention NOUN ajst-19344 62 19 , , PUNCT ajst-19344 62 20 while while SCONJ ajst-19344 62 21 others other NOUN ajst-19344 62 22 produce produce VERB ajst-19344 62 23 negligible negligible ADJ ajst-19344 62 24 attention attention NOUN ajst-19344 62 25 . . PUNCT ajst-19344 63 1 therefore therefore ADV ajst-19344 63 2 , , PUNCT ajst-19344 63 3 π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ PROPN ajst-19344 63 4 self self NOUN ajst-19344 63 5 - - PUNCT ajst-19344 63 6 attention attention NOUN ajst-19344 63 7 is be AUX ajst-19344 63 8 adopted adopt VERB ajst-19344 63 9 to to PART ajst-19344 63 10 extract extract VERB ajst-19344 63 11 the the DET ajst-19344 63 12 important important ADJ ajst-19344 63 13 ones one NOUN ajst-19344 63 14 , , PUNCT ajst-19344 63 15 with with ADP ajst-19344 63 16 the the DET ajst-19344 63 17 formula formula NOUN ajst-19344 63 18 as as SCONJ ajst-19344 63 19 follows follow VERB ajst-19344 63 20 : : PUNCT ajst-19344 63 21 π‘‚β„Ž π‘‚β„Ž PROPN ajst-19344 63 22 π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ PROPN ajst-19344 63 23 π΄π‘‘π‘‘π‘’π‘›π‘‘π‘–π‘œπ‘› π΄π‘‘π‘‘π‘’π‘›π‘‘π‘–π‘œπ‘› PROPN ajst-19344 63 24 π‘„β„Ž π‘„β„Ž PROPN ajst-19344 63 25 , , PUNCT ajst-19344 63 26 πΎβ„Ž πΎβ„Ž PROPN ajst-19344 63 27 , , PUNCT ajst-19344 63 28 π‘‰β„Ž π‘‰β„Ž PROPN ajst-19344 63 29 π‘ π‘œπ‘“π‘‘π‘šπ‘Žπ‘₯ π‘ π‘œπ‘“π‘‘π‘šπ‘Žπ‘₯ VERB ajst-19344 63 30 β„Ž β„Ž PROPN ajst-19344 63 31 β„Ž β„Ž PROPN ajst-19344 63 32 ⊀ ⊀ PROPN ajst-19344 63 33 β‹… β‹… PROPN ajst-19344 63 34 π‘‰β„Ž π‘‰β„Ž PROPN ajst-19344 63 35 ( ( PUNCT ajst-19344 63 36 1 1 X ajst-19344 63 37 ) ) PUNCT ajst-19344 63 38 the the DET ajst-19344 63 39 π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ π‘ƒπ‘Ÿπ‘œπ‘π‘†π‘π‘Žπ‘Ÿπ‘ π‘’ PROPN ajst-19344 63 40 self self NOUN ajst-19344 63 41 - - PUNCT ajst-19344 63 42 attention attention NOUN ajst-19344 63 43 mechanism mechanism NOUN ajst-19344 63 44 , , PUNCT ajst-19344 63 45 after after ADP ajst-19344 63 46 processing process VERB ajst-19344 63 47 through through ADP ajst-19344 63 48 the the DET ajst-19344 63 49 convolutional convolutional ADJ ajst-19344 63 50 attention attention NOUN ajst-19344 63 51 layer layer NOUN ajst-19344 63 52 , , PUNCT ajst-19344 63 53 can can AUX ajst-19344 63 54 result result VERB ajst-19344 63 55 in in ADP ajst-19344 63 56 feature feature NOUN ajst-19344 63 57 maps map NOUN ajst-19344 63 58 with with ADP ajst-19344 63 59 redundant redundant ADJ ajst-19344 63 60 values value NOUN ajst-19344 63 61 . . PUNCT ajst-19344 64 1 therefore therefore ADV ajst-19344 64 2 , , PUNCT ajst-19344 64 3 a a DET ajst-19344 64 4 self self NOUN ajst-19344 64 5 - - PUNCT ajst-19344 64 6 attention attention NOUN ajst-19344 64 7 distillation distillation NOUN ajst-19344 64 8 layer layer NOUN ajst-19344 64 9 is be AUX ajst-19344 64 10 employed employ VERB ajst-19344 64 11 to to PART ajst-19344 64 12 extract extract VERB ajst-19344 64 13 dominant dominant ADJ ajst-19344 64 14 features feature NOUN ajst-19344 64 15 , , PUNCT ajst-19344 64 16 and and CCONJ ajst-19344 64 17 at at ADP ajst-19344 64 18 the the DET ajst-19344 64 19 same same ADJ ajst-19344 64 20 time time NOUN ajst-19344 64 21 , , PUNCT ajst-19344 64 22 it it PRON ajst-19344 64 23 reduces reduce VERB ajst-19344 64 24 the the DET ajst-19344 64 25 temporal temporal ADJ ajst-19344 64 26 dimension dimension NOUN ajst-19344 64 27 of of ADP ajst-19344 64 28 the the DET ajst-19344 64 29 input input NOUN ajst-19344 64 30 , , PUNCT ajst-19344 64 31 which which PRON ajst-19344 64 32 decreases decrease VERB ajst-19344 64 33 the the DET ajst-19344 64 34 amount amount NOUN ajst-19344 64 35 of of ADP ajst-19344 64 36 memory memory NOUN ajst-19344 64 37 used use VERB ajst-19344 64 38 . . PUNCT ajst-19344 65 1 its its PRON ajst-19344 65 2 definition definition NOUN ajst-19344 65 3 is be AUX ajst-19344 65 4 as as SCONJ ajst-19344 65 5 follows follow VERB ajst-19344 65 6 : : PUNCT ajst-19344 65 7 𝑋 𝑋 PROPN ajst-19344 65 8 maxpool maxpool PROPN ajst-19344 65 9 elu elu PROPN ajst-19344 65 10 conv1d conv1d PROPN ajst-19344 65 11 x x INTJ ajst-19344 65 12 ( ( PUNCT ajst-19344 65 13 2 2 NUM ajst-19344 65 14 ) ) PUNCT ajst-19344 65 15 here here ADV ajst-19344 65 16 , , PUNCT ajst-19344 65 17 β‹… β‹… PROPN ajst-19344 65 18 denotes denote VERB ajst-19344 65 19 the the DET ajst-19344 65 20 operations operation NOUN ajst-19344 65 21 of of ADP ajst-19344 65 22 the the DET ajst-19344 65 23 convolutional convolutional ADJ ajst-19344 65 24 attention attention NOUN ajst-19344 65 25 layer layer NOUN ajst-19344 65 26 . . PUNCT ajst-19344 66 1 " " PUNCT ajst-19344 66 2 elu"[17 elu"[17 X ajst-19344 66 3 ] ] PUNCT ajst-19344 66 4 is be AUX ajst-19344 66 5 the the DET ajst-19344 66 6 activation activation NOUN ajst-19344 66 7 function function NOUN ajst-19344 66 8 , , PUNCT ajst-19344 66 9 which which PRON ajst-19344 66 10 applies apply VERB ajst-19344 66 11 a a DET ajst-19344 66 12 one one NUM ajst-19344 66 13 - - PUNCT ajst-19344 66 14 dimensional dimensional ADJ ajst-19344 66 15 convolution convolution NOUN ajst-19344 66 16 and and CCONJ ajst-19344 66 17 max max PROPN ajst-19344 66 18 pooling pool VERB ajst-19344 66 19 operation operation NOUN ajst-19344 66 20 to to ADP ajst-19344 66 21 the the DET ajst-19344 66 22 input input NOUN ajst-19344 66 23 feature feature NOUN ajst-19344 66 24 map map NOUN ajst-19344 66 25 to to PART ajst-19344 66 26 focus focus VERB ajst-19344 66 27 the the DET ajst-19344 66 28 feature feature NOUN ajst-19344 66 29 map map NOUN ajst-19344 66 30 . . PUNCT ajst-19344 67 1 2.4 2.4 NUM ajst-19344 67 2 . . PUNCT ajst-19344 68 1 distribution distribution NOUN ajst-19344 68 2 adaptive adaptive ADJ ajst-19344 68 3 strategy strategy NOUN ajst-19344 68 4 in in ADP ajst-19344 68 5 blood blood NOUN ajst-19344 68 6 pressure pressure NOUN ajst-19344 68 7 prediction prediction NOUN ajst-19344 68 8 tasks task NOUN ajst-19344 68 9 , , PUNCT ajst-19344 68 10 it it PRON ajst-19344 68 11 is be AUX ajst-19344 68 12 common common ADJ ajst-19344 68 13 to to PART ajst-19344 68 14 transform transform VERB ajst-19344 68 15 all all DET ajst-19344 68 16 sequence sequence NOUN ajst-19344 68 17 data datum NOUN ajst-19344 68 18 into into ADP ajst-19344 68 19 a a DET ajst-19344 68 20 format format NOUN ajst-19344 68 21 with with ADP ajst-19344 68 22 uniform uniform ADJ ajst-19344 68 23 mean mean ADJ ajst-19344 68 24 and and CCONJ ajst-19344 68 25 standard standard ADJ ajst-19344 68 26 deviation deviation NOUN ajst-19344 68 27 , , PUNCT ajst-19344 68 28 which which PRON ajst-19344 68 29 helps help VERB ajst-19344 68 30 reduce reduce VERB ajst-19344 68 31 the the DET ajst-19344 68 32 impact impact NOUN ajst-19344 68 33 of of ADP ajst-19344 68 34 different different ADJ ajst-19344 68 35 scales scale NOUN ajst-19344 68 36 and and CCONJ ajst-19344 68 37 dimensions dimension NOUN ajst-19344 68 38 on on ADP ajst-19344 68 39 the the DET ajst-19344 68 40 model model NOUN ajst-19344 68 41 , , PUNCT ajst-19344 68 42 making make VERB ajst-19344 68 43 it it PRON ajst-19344 68 44 easier easy ADJ ajst-19344 68 45 for for SCONJ ajst-19344 68 46 the the DET ajst-19344 68 47 model model NOUN ajst-19344 68 48 to to PART ajst-19344 68 49 learn learn VERB ajst-19344 68 50 the the DET ajst-19344 68 51 interactions interaction NOUN ajst-19344 68 52 between between ADP ajst-19344 68 53 various various ADJ ajst-19344 68 54 features[18 features[18 NOUN ajst-19344 68 55 ] ] PUNCT ajst-19344 68 56 . . PUNCT ajst-19344 69 1 however however ADV ajst-19344 69 2 , , PUNCT ajst-19344 69 3 due due ADP ajst-19344 69 4 to to ADP ajst-19344 69 5 the the DET ajst-19344 69 6 distributional distributional ADJ ajst-19344 69 7 differences difference NOUN ajst-19344 69 8 in in ADP ajst-19344 69 9 physiological physiological ADJ ajst-19344 69 10 sequences sequence NOUN ajst-19344 69 11 , , PUNCT ajst-19344 69 12 the the DET ajst-19344 69 13 simple simple ADJ ajst-19344 69 14 application application NOUN ajst-19344 69 15 of of ADP ajst-19344 69 16 global global ADJ ajst-19344 69 17 normalization normalization NOUN ajst-19344 69 18 may may AUX ajst-19344 69 19 weaken weaken VERB ajst-19344 69 20 the the DET ajst-19344 69 21 dynamic dynamic ADJ ajst-19344 69 22 characteristics characteristic NOUN ajst-19344 69 23 of of ADP ajst-19344 69 24 blood blood NOUN ajst-19344 69 25 pressure pressure NOUN ajst-19344 69 26 data datum NOUN ajst-19344 69 27 . . PUNCT ajst-19344 70 1 for for ADP ajst-19344 70 2 instance instance NOUN ajst-19344 70 3 , , PUNCT ajst-19344 70 4 during during ADP ajst-19344 70 5 surgery surgery NOUN ajst-19344 70 6 , , PUNCT ajst-19344 70 7 rapid rapid ADJ ajst-19344 70 8 changes change NOUN ajst-19344 70 9 in in ADP ajst-19344 70 10 blood blood NOUN ajst-19344 70 11 pressure pressure NOUN ajst-19344 70 12 are be AUX ajst-19344 70 13 often often ADV ajst-19344 70 14 critical critical ADJ ajst-19344 70 15 indicators indicator NOUN ajst-19344 70 16 of of ADP ajst-19344 70 17 changes change NOUN ajst-19344 70 18 in in ADP ajst-19344 70 19 a a DET ajst-19344 70 20 patient patient NOUN ajst-19344 70 21 's 's PART ajst-19344 70 22 condition condition NOUN ajst-19344 70 23 . . PUNCT ajst-19344 71 1 global global ADJ ajst-19344 71 2 normalization normalization NOUN ajst-19344 71 3 can can AUX ajst-19344 71 4 reduce reduce VERB ajst-19344 71 5 the the DET ajst-19344 71 6 model model NOUN ajst-19344 71 7 's 's PART ajst-19344 71 8 sensitivity sensitivity NOUN ajst-19344 71 9 to to ADP ajst-19344 71 10 these these DET ajst-19344 71 11 key key ADJ ajst-19344 71 12 events event NOUN ajst-19344 71 13 , , PUNCT ajst-19344 71 14 potentially potentially ADV ajst-19344 71 15 leading lead VERB ajst-19344 71 16 to to ADP ajst-19344 71 17 attention attention NOUN ajst-19344 71 18 weight weight NOUN ajst-19344 71 19 distributions distribution NOUN ajst-19344 71 20 that that PRON ajst-19344 71 21 are be AUX ajst-19344 71 22 too too ADV ajst-19344 71 23 uniform uniform ADJ ajst-19344 71 24 or or CCONJ ajst-19344 71 25 focused focus VERB ajst-19344 71 26 on on ADP ajst-19344 71 27 noise noise NOUN ajst-19344 71 28 within within ADP ajst-19344 71 29 the the DET ajst-19344 71 30 normalized normalize VERB ajst-19344 71 31 data datum NOUN ajst-19344 71 32 . . PUNCT ajst-19344 72 1 this this PRON ajst-19344 72 2 can can AUX ajst-19344 72 3 result result VERB ajst-19344 72 4 in in ADP ajst-19344 72 5 the the DET ajst-19344 72 6 model model NOUN ajst-19344 72 7 producing produce VERB ajst-19344 72 8 overly overly ADV ajst-19344 72 9 smooth smooth ADJ ajst-19344 72 10 outputs output NOUN ajst-19344 72 11 that that PRON ajst-19344 72 12 lack lack VERB ajst-19344 72 13 event event NOUN ajst-19344 72 14 responsiveness responsiveness NOUN ajst-19344 72 15 . . PUNCT ajst-19344 73 1 therefore therefore ADV ajst-19344 73 2 , , PUNCT ajst-19344 73 3 a a DET ajst-19344 73 4 method method NOUN ajst-19344 73 5 capable capable ADJ ajst-19344 73 6 of of ADP ajst-19344 73 7 capturing capture VERB ajst-19344 73 8 the the DET ajst-19344 73 9 unique unique ADJ ajst-19344 73 10 dynamic dynamic ADJ ajst-19344 73 11 characteristics characteristic NOUN ajst-19344 73 12 of of ADP ajst-19344 73 13 blood blood NOUN ajst-19344 73 14 pressure pressure NOUN ajst-19344 73 15 data datum NOUN ajst-19344 73 16 is be AUX ajst-19344 73 17 needed need VERB ajst-19344 73 18 . . PUNCT ajst-19344 74 1 to to PART ajst-19344 74 2 address address VERB ajst-19344 74 3 this this DET ajst-19344 74 4 problem problem NOUN ajst-19344 74 5 , , PUNCT ajst-19344 74 6 the the DET ajst-19344 74 7 paper paper NOUN ajst-19344 74 8 constructs construct VERB ajst-19344 74 9 a a DET ajst-19344 74 10 distribution distribution NOUN ajst-19344 74 11 adaptation adaptation NOUN ajst-19344 74 12 strategy strategy NOUN ajst-19344 74 13 as as SCONJ ajst-19344 74 14 shown show VERB ajst-19344 74 15 in in ADP ajst-19344 74 16 figure figure NOUN ajst-19344 74 17 2 2 NUM ajst-19344 74 18 , , PUNCT ajst-19344 74 19 which which PRON ajst-19344 74 20 combines combine VERB ajst-19344 74 21 the the DET ajst-19344 74 22 convolutional convolutional ADJ ajst-19344 74 23 sparse sparse ADJ ajst-19344 74 24 attention attention NOUN ajst-19344 74 25 mechanism mechanism NOUN ajst-19344 74 26 in in ADP ajst-19344 74 27 its its PRON ajst-19344 74 28 encoder encoder NOUN ajst-19344 74 29 with with ADP ajst-19344 74 30 non non ADJ ajst-19344 74 31 - - ADJ ajst-19344 74 32 stationary stationary ADJ ajst-19344 74 33 attention attention NOUN ajst-19344 74 34 . . PUNCT ajst-19344 75 1 for for ADP ajst-19344 75 2 the the DET ajst-19344 75 3 input input NOUN ajst-19344 75 4 sequence sequence NOUN ajst-19344 75 5 of of ADP ajst-19344 75 6 the the DET ajst-19344 75 7 encoder encoder NOUN ajst-19344 75 8 𝑿 𝑿 PROPN ajst-19344 75 9 , , PUNCT ajst-19344 75 10 it it PRON ajst-19344 75 11 calculates calculate VERB ajst-19344 75 12 its its PRON ajst-19344 75 13 statistical statistical ADJ ajst-19344 75 14 features feature NOUN ajst-19344 75 15 πœ‡π±π’• πœ‡π±π’• NOUN ajst-19344 75 16 and and CCONJ ajst-19344 75 17 πœŽπ±π’• πœŽπ±π’• NOUN ajst-19344 75 18 , , PUNCT ajst-19344 75 19 which which PRON ajst-19344 75 20 respectively respectively ADV ajst-19344 75 21 represent represent VERB ajst-19344 75 22 the the DET ajst-19344 75 23 mean mean NOUN ajst-19344 75 24 and and CCONJ ajst-19344 75 25 variance variance NOUN ajst-19344 75 26 of of ADP ajst-19344 75 27 the the DET ajst-19344 75 28 input input NOUN ajst-19344 75 29 time time NOUN ajst-19344 75 30 window window NOUN ajst-19344 75 31 at at ADP ajst-19344 75 32 moment moment NOUN ajst-19344 75 33 𝑑. 𝑑. NOUN ajst-19344 75 34 compared compare VERB ajst-19344 75 35 to to ADP ajst-19344 75 36 the the DET ajst-19344 75 37 original original ADJ ajst-19344 75 38 non non ADJ ajst-19344 75 39 - - ADJ ajst-19344 75 40 stationary stationary ADJ ajst-19344 75 41 attention attention NOUN ajst-19344 75 42 architecture architecture NOUN ajst-19344 75 43 , , PUNCT ajst-19344 75 44 the the DET ajst-19344 75 45 distribution distribution NOUN ajst-19344 75 46 adaptation adaptation NOUN ajst-19344 75 47 architecture architecture NOUN ajst-19344 75 48 removes remove VERB ajst-19344 75 49 the the DET ajst-19344 75 50 normalization normalization NOUN ajst-19344 75 51 and and CCONJ ajst-19344 75 52 denormalization denormalization NOUN ajst-19344 75 53 modules module NOUN ajst-19344 75 54 for for ADP ajst-19344 75 55 the the DET ajst-19344 75 56 input input NOUN ajst-19344 75 57 . . PUNCT ajst-19344 76 1 instead instead ADV ajst-19344 76 2 , , PUNCT ajst-19344 76 3 it it PRON ajst-19344 76 4 directly directly ADV ajst-19344 76 5 uses use VERB ajst-19344 76 6 the the DET ajst-19344 76 7 globally globally ADV ajst-19344 76 8 normalized normalize VERB ajst-19344 76 9 input input NOUN ajst-19344 76 10 , , PUNCT ajst-19344 76 11 allowing allow VERB ajst-19344 76 12 it it PRON ajst-19344 76 13 to to PART ajst-19344 76 14 perform perform VERB ajst-19344 76 15 calculations calculation NOUN ajst-19344 76 16 and and CCONJ ajst-19344 76 17 adjustments adjustment NOUN ajst-19344 76 18 of of ADP ajst-19344 76 19 mean mean ADJ ajst-19344 76 20 and and CCONJ ajst-19344 76 21 standard standard ADJ ajst-19344 76 22 deviation deviation NOUN ajst-19344 76 23 based base VERB ajst-19344 76 24 on on ADP ajst-19344 76 25 the the DET ajst-19344 76 26 data datum NOUN ajst-19344 76 27 within within ADP ajst-19344 76 28 each each DET ajst-19344 76 29 fragment fragment NOUN ajst-19344 76 30 . . PUNCT ajst-19344 77 1 to to PART ajst-19344 77 2 be be AUX ajst-19344 77 3 able able ADJ ajst-19344 77 4 to to PART ajst-19344 77 5 learn learn VERB ajst-19344 77 6 the the DET ajst-19344 77 7 unique unique ADJ ajst-19344 77 8 distribution distribution NOUN ajst-19344 77 9 information information NOUN ajst-19344 77 10 from from ADP ajst-19344 77 11 local local ADJ ajst-19344 77 12 fragments fragment NOUN ajst-19344 77 13 , , PUNCT ajst-19344 77 14 as as SCONJ ajst-19344 77 15 shown show VERB ajst-19344 77 16 in in ADP ajst-19344 77 17 equation equation NOUN ajst-19344 77 18 ( ( PUNCT ajst-19344 77 19 3),(4 3),(4 PROPN ajst-19344 77 20 ): ): PUNCT ajst-19344 77 21 log log NOUN ajst-19344 77 22 𝜏 𝜏 PROPN ajst-19344 77 23 mlp mlp PROPN ajst-19344 77 24 πœŽπ±π’• πœŽπ±π’• NOUN ajst-19344 77 25 , , PUNCT ajst-19344 77 26 𝑿 𝑿 PROPN ajst-19344 77 27 ( ( PUNCT ajst-19344 77 28 3 3 NUM ajst-19344 77 29 ) ) PUNCT ajst-19344 77 30 Ξ΄ Ξ΄ PROPN ajst-19344 77 31 mlp mlp PROPN ajst-19344 77 32 πœ‡π±π’• πœ‡π±π’• PROPN ajst-19344 77 33 , , PUNCT ajst-19344 77 34 𝑿 𝑿 PROPN ajst-19344 77 35 ( ( PUNCT ajst-19344 77 36 4 4 NUM ajst-19344 77 37 ) ) PUNCT ajst-19344 77 38 a a DET ajst-19344 77 39 multilayer multilayer ADJ ajst-19344 77 40 perceptron perceptron PROPN ajst-19344 77 41 ( ( PUNCT ajst-19344 77 42 mlp mlp NOUN ajst-19344 77 43 ) ) PUNCT ajst-19344 77 44 module module NOUN ajst-19344 77 45 is be AUX ajst-19344 77 46 used use VERB ajst-19344 77 47 to to PART ajst-19344 77 48 learn learn VERB ajst-19344 77 49 the the DET ajst-19344 77 50 distribution distribution NOUN ajst-19344 77 51 adaptation adaptation NOUN ajst-19344 77 52 factors factor NOUN ajst-19344 77 53 𝜏 𝜏 NOUN ajst-19344 77 54 and and CCONJ ajst-19344 77 55 Ξ΄ Ξ΄ PROPN ajst-19344 77 56 from from ADP ajst-19344 77 57 𝑿 𝑿 PROPN ajst-19344 77 58 . . PUNCT ajst-19344 78 1 𝜏 𝜏 NOUN ajst-19344 78 2 is be AUX ajst-19344 78 3 a a DET ajst-19344 78 4 positive positive ADJ ajst-19344 78 5 scalar scalar ADJ ajst-19344 78 6 factor factor NOUN ajst-19344 78 7 corresponding correspond VERB ajst-19344 78 8 to to ADP ajst-19344 78 9 the the DET ajst-19344 78 10 learned learn VERB ajst-19344 78 11 result result NOUN ajst-19344 78 12 of of ADP ajst-19344 78 13 h h PROPN ajst-19344 78 14 ε€šε€΄ζ³¨ζ„εŠ›ζœΊεˆΆ ε€šε€΄ζ³¨ζ„εŠ›ζœΊεˆΆ PROPN ajst-19344 78 15 conv conv PROPN ajst-19344 78 16 , , PUNCT ajst-19344 78 17 k k PROPN ajst-19344 78 18 q q PROPN ajst-19344 79 1 k k PROPN ajst-19344 79 2 v v X ajst-19344 79 3 conv conv ADJ ajst-19344 79 4 , , PUNCT ajst-19344 79 5 k k PROPN ajst-19344 79 6 conv,1 conv,1 NOUN ajst-19344 79 7 convolutional convolutional ADJ ajst-19344 79 8 attention attention NOUN ajst-19344 79 9 layer layer NOUN ajst-19344 79 10 459 459 NUM ajst-19344 79 11 local local ADJ ajst-19344 79 12 variance variance NOUN ajst-19344 79 13 , , PUNCT ajst-19344 79 14 and and CCONJ ajst-19344 79 15 Ξ΄ Ξ΄ PROPN ajst-19344 79 16 is be AUX ajst-19344 79 17 a a DET ajst-19344 79 18 shift shift NOUN ajst-19344 79 19 vector vector NOUN ajst-19344 79 20 corresponding correspond VERB ajst-19344 79 21 to to ADP ajst-19344 79 22 the the DET ajst-19344 79 23 learned learn VERB ajst-19344 79 24 result result NOUN ajst-19344 79 25 of of ADP ajst-19344 79 26 local local ADJ ajst-19344 79 27 mean mean NOUN ajst-19344 79 28 . . PUNCT ajst-19344 80 1 the the DET ajst-19344 80 2 final final ADJ ajst-19344 80 3 adjustment adjustment NOUN ajst-19344 80 4 of of ADP ajst-19344 80 5 the the DET ajst-19344 80 6 attention attention NOUN ajst-19344 80 7 weight weight NOUN ajst-19344 80 8 coefficients coefficient NOUN ajst-19344 80 9 is be AUX ajst-19344 80 10 done do VERB ajst-19344 80 11 in in ADP ajst-19344 80 12 a a DET ajst-19344 80 13 weighted weighted ADJ ajst-19344 80 14 manner manner NOUN ajst-19344 80 15 , , PUNCT ajst-19344 80 16 as as SCONJ ajst-19344 80 17 shown show VERB ajst-19344 80 18 in in ADP ajst-19344 80 19 equation equation NOUN ajst-19344 80 20 ( ( PUNCT ajst-19344 80 21 5 5 NUM ajst-19344 80 22 ) ) PUNCT ajst-19344 80 23 . . PUNCT ajst-19344 81 1 attn attn PROPN ajst-19344 81 2 𝑸 𝑸 PROPN ajst-19344 81 3 , , PUNCT ajst-19344 81 4 𝑲 𝑲 PROPN ajst-19344 81 5 , , PUNCT ajst-19344 81 6 𝑽 𝑽 PROPN ajst-19344 81 7 , , PUNCT ajst-19344 81 8 𝜏 𝜏 PROPN ajst-19344 81 9 , , PUNCT ajst-19344 81 10 Ξ΄ Ξ΄ PROPN ajst-19344 81 11 softmax softmax NOUN ajst-19344 81 12 𝑸𝑲 𝑸𝑲 PROPN ajst-19344 81 13 𝑽 𝑽 PROPN ajst-19344 81 14 ( ( PUNCT ajst-19344 81 15 5 5 NUM ajst-19344 81 16 ) ) PUNCT ajst-19344 81 17 here here ADV ajst-19344 81 18 , , PUNCT ajst-19344 81 19 attn attn NOUN ajst-19344 81 20 represents represent VERB ajst-19344 81 21 the the DET ajst-19344 81 22 convolutional convolutional ADJ ajst-19344 81 23 attention attention NOUN ajst-19344 81 24 mechanism mechanism NOUN ajst-19344 81 25 , , PUNCT ajst-19344 81 26 and and CCONJ ajst-19344 81 27 𝑄 𝑄 PROPN ajst-19344 81 28 , , PUNCT ajst-19344 81 29 𝐾 𝐾 PROPN ajst-19344 81 30 , , PUNCT ajst-19344 81 31 𝑉 𝑉 PROPN ajst-19344 81 32 stand stand VERB ajst-19344 81 33 for for ADP ajst-19344 81 34 the the DET ajst-19344 81 35 input input NOUN ajst-19344 81 36 queries query NOUN ajst-19344 81 37 , , PUNCT ajst-19344 81 38 keys key NOUN ajst-19344 81 39 , , PUNCT ajst-19344 81 40 and and CCONJ ajst-19344 81 41 values value NOUN ajst-19344 81 42 , , PUNCT ajst-19344 81 43 respectively respectively ADV ajst-19344 81 44 , , PUNCT ajst-19344 81 45 while while SCONJ ajst-19344 81 46 𝑑 𝑑 PROPN ajst-19344 81 47 denotes denote VERB ajst-19344 81 48 the the DET ajst-19344 81 49 dimensionality dimensionality NOUN ajst-19344 81 50 of of ADP ajst-19344 81 51 the the DET ajst-19344 81 52 vectors vector NOUN ajst-19344 81 53 . . PUNCT ajst-19344 82 1 in in ADP ajst-19344 82 2 this this DET ajst-19344 82 3 manner manner NOUN ajst-19344 82 4 , , PUNCT ajst-19344 82 5 the the DET ajst-19344 82 6 attention attention NOUN ajst-19344 82 7 weights weight VERB ajst-19344 82 8 within within ADP ajst-19344 82 9 each each DET ajst-19344 82 10 sequence sequence NOUN ajst-19344 82 11 block block NOUN ajst-19344 82 12 can can AUX ajst-19344 82 13 be be AUX ajst-19344 82 14 independently independently ADV ajst-19344 82 15 adjusted adjust VERB ajst-19344 82 16 based base VERB ajst-19344 82 17 on on ADP ajst-19344 82 18 their their PRON ajst-19344 82 19 respective respective ADJ ajst-19344 82 20 statistical statistical ADJ ajst-19344 82 21 values value NOUN ajst-19344 82 22 . . PUNCT ajst-19344 83 1 for for ADP ajst-19344 83 2 instance instance NOUN ajst-19344 83 3 , , PUNCT ajst-19344 83 4 if if SCONJ ajst-19344 83 5 a a DET ajst-19344 83 6 block block NOUN ajst-19344 83 7 has have VERB ajst-19344 83 8 a a DET ajst-19344 83 9 high high ADJ ajst-19344 83 10 variance variance NOUN ajst-19344 83 11 , , PUNCT ajst-19344 83 12 indicating indicate VERB ajst-19344 83 13 that that SCONJ ajst-19344 83 14 the the DET ajst-19344 83 15 data data NOUN ajst-19344 83 16 points point NOUN ajst-19344 83 17 are be AUX ajst-19344 83 18 more more ADV ajst-19344 83 19 dispersed disperse VERB ajst-19344 83 20 , , PUNCT ajst-19344 83 21 the the DET ajst-19344 83 22 model model NOUN ajst-19344 83 23 should should AUX ajst-19344 83 24 focus focus VERB ajst-19344 83 25 more more ADV ajst-19344 83 26 on on ADP ajst-19344 83 27 those those DET ajst-19344 83 28 points point NOUN ajst-19344 83 29 that that PRON ajst-19344 83 30 significantly significantly ADV ajst-19344 83 31 differ differ VERB ajst-19344 83 32 from from ADP ajst-19344 83 33 the the DET ajst-19344 83 34 average average NOUN ajst-19344 83 35 . . PUNCT ajst-19344 84 1 this this PRON ajst-19344 84 2 is be AUX ajst-19344 84 3 achieved achieve VERB ajst-19344 84 4 by by ADP ajst-19344 84 5 increasing increase VERB ajst-19344 84 6 the the DET ajst-19344 84 7 scaling scaling ADJ ajst-19344 84 8 factor factor NOUN ajst-19344 84 9 𝜏 𝜏 PROPN ajst-19344 84 10 of of ADP ajst-19344 84 11 the the DET ajst-19344 84 12 attention attention NOUN ajst-19344 84 13 weights weight NOUN ajst-19344 84 14 . . PUNCT ajst-19344 85 1 when when SCONJ ajst-19344 85 2 there there PRON ajst-19344 85 3 is be VERB ajst-19344 85 4 a a DET ajst-19344 85 5 change change NOUN ajst-19344 85 6 in in ADP ajst-19344 85 7 the the DET ajst-19344 85 8 mean mean NOUN ajst-19344 85 9 , , PUNCT ajst-19344 85 10 it it PRON ajst-19344 85 11 signifies signify VERB ajst-19344 85 12 a a DET ajst-19344 85 13 shift shift NOUN ajst-19344 85 14 in in ADP ajst-19344 85 15 the the DET ajst-19344 85 16 overall overall ADJ ajst-19344 85 17 trend trend NOUN ajst-19344 85 18 of of ADP ajst-19344 85 19 the the DET ajst-19344 85 20 sequence sequence NOUN ajst-19344 85 21 . . PUNCT ajst-19344 86 1 by by ADP ajst-19344 86 2 adjusting adjust VERB ajst-19344 86 3 an an DET ajst-19344 86 4 offset offset ADJ ajst-19344 86 5 Ξ΄ Ξ΄ PROPN ajst-19344 86 6 , , PUNCT ajst-19344 86 7 the the DET ajst-19344 86 8 model model NOUN ajst-19344 86 9 takes take VERB ajst-19344 86 10 into into ADP ajst-19344 86 11 account account NOUN ajst-19344 86 12 this this DET ajst-19344 86 13 change change NOUN ajst-19344 86 14 in in ADP ajst-19344 86 15 trend trend NOUN ajst-19344 86 16 when when SCONJ ajst-19344 86 17 calculating calculate VERB ajst-19344 86 18 attention attention NOUN ajst-19344 86 19 weights weight NOUN ajst-19344 86 20 . . PUNCT ajst-19344 87 1 with with ADP ajst-19344 87 2 this this DET ajst-19344 87 3 approach approach NOUN ajst-19344 87 4 , , PUNCT ajst-19344 87 5 the the DET ajst-19344 87 6 model model NOUN ajst-19344 87 7 can can AUX ajst-19344 87 8 not not PART ajst-19344 87 9 only only ADV ajst-19344 87 10 take take VERB ajst-19344 87 11 advantage advantage NOUN ajst-19344 87 12 of of ADP ajst-19344 87 13 the the DET ajst-19344 87 14 stability stability NOUN ajst-19344 87 15 of of ADP ajst-19344 87 16 the the DET ajst-19344 87 17 globally globally ADV ajst-19344 87 18 normalized normalize VERB ajst-19344 87 19 data datum NOUN ajst-19344 87 20 but but CCONJ ajst-19344 87 21 also also ADV ajst-19344 87 22 adapt adapt VERB ajst-19344 87 23 to to ADP ajst-19344 87 24 the the DET ajst-19344 87 25 potential potential ADJ ajst-19344 87 26 non non ADJ ajst-19344 87 27 - - ADJ ajst-19344 87 28 stationary stationary ADJ ajst-19344 87 29 characteristics characteristic NOUN ajst-19344 87 30 within within ADP ajst-19344 87 31 each each DET ajst-19344 87 32 input input NOUN ajst-19344 87 33 window window NOUN ajst-19344 87 34 , , PUNCT ajst-19344 87 35 enhancing enhance VERB ajst-19344 87 36 its its PRON ajst-19344 87 37 ability ability NOUN ajst-19344 87 38 to to PART ajst-19344 87 39 learn learn VERB ajst-19344 87 40 the the DET ajst-19344 87 41 inherent inherent ADJ ajst-19344 87 42 distribution distribution NOUN ajst-19344 87 43 patterns pattern NOUN ajst-19344 87 44 of of ADP ajst-19344 87 45 non non ADJ ajst-19344 87 46 - - ADJ ajst-19344 87 47 stationary stationary ADJ ajst-19344 87 48 sequences sequence NOUN ajst-19344 87 49 . . PUNCT ajst-19344 88 1 2.5 2.5 NUM ajst-19344 88 2 . . PUNCT ajst-19344 89 1 generative generative ADJ ajst-19344 89 2 prediction prediction NOUN ajst-19344 89 3 in in ADP ajst-19344 89 4 the the DET ajst-19344 89 5 context context NOUN ajst-19344 89 6 of of ADP ajst-19344 89 7 long long ADJ ajst-19344 89 8 - - PUNCT ajst-19344 89 9 term term NOUN ajst-19344 89 10 blood blood NOUN ajst-19344 89 11 pressure pressure NOUN ajst-19344 89 12 prediction prediction NOUN ajst-19344 89 13 , , PUNCT ajst-19344 89 14 a a DET ajst-19344 89 15 generative generative ADJ ajst-19344 89 16 decoder decoder NOUN ajst-19344 89 17 design design NOUN ajst-19344 89 18 has have AUX ajst-19344 89 19 been be AUX ajst-19344 89 20 adopted adopt VERB ajst-19344 89 21 , , PUNCT ajst-19344 89 22 aiming aim VERB ajst-19344 89 23 to to PART ajst-19344 89 24 address address VERB ajst-19344 89 25 the the DET ajst-19344 89 26 issues issue NOUN ajst-19344 89 27 of of ADP ajst-19344 89 28 decaying decay VERB ajst-19344 89 29 velocity velocity NOUN ajst-19344 89 30 and and CCONJ ajst-19344 89 31 error error NOUN ajst-19344 89 32 accumulation accumulation NOUN ajst-19344 89 33 present present ADJ ajst-19344 89 34 in in ADP ajst-19344 89 35 traditional traditional ADJ ajst-19344 89 36 prediction prediction NOUN ajst-19344 89 37 methods[19 methods[19 NOUN ajst-19344 89 38 ] ] X ajst-19344 89 39 . . PUNCT ajst-19344 90 1 the the DET ajst-19344 90 2 detailed detailed ADJ ajst-19344 90 3 architecture architecture NOUN ajst-19344 90 4 of of ADP ajst-19344 90 5 the the DET ajst-19344 90 6 generative generative ADJ ajst-19344 90 7 decoder decoder NOUN ajst-19344 90 8 is be AUX ajst-19344 90 9 shown show VERB ajst-19344 90 10 in in ADP ajst-19344 90 11 the the DET ajst-19344 90 12 figure figure NOUN ajst-19344 90 13 5 5 NUM ajst-19344 90 14 : : PUNCT ajst-19344 90 15 figure figure NOUN ajst-19344 90 16 5 5 NUM ajst-19344 90 17 generative generative ADJ ajst-19344 90 18 prediction prediction NOUN ajst-19344 90 19 schematic schematic ADJ ajst-19344 90 20 the the DET ajst-19344 90 21 definition definition NOUN ajst-19344 90 22 of of ADP ajst-19344 90 23 the the DET ajst-19344 90 24 decoder decoder NOUN ajst-19344 90 25 's 's PART ajst-19344 90 26 input input NOUN ajst-19344 90 27 x x PUNCT ajst-19344 90 28 is be AUX ajst-19344 90 29 as as SCONJ ajst-19344 90 30 follows follow VERB ajst-19344 90 31 : : PUNCT ajst-19344 90 32 𝑋de 𝑋de PROPN ajst-19344 90 33 pe pe PROPN ajst-19344 90 34 concat concat NOUN ajst-19344 90 35 xtoken xtoken VERB ajst-19344 90 36 , , PUNCT ajst-19344 90 37 π‘Œ π‘Œ PROPN ajst-19344 90 38 ∈ ∈ PROPN ajst-19344 90 39 ℝ ℝ PROPN ajst-19344 90 40 token token ADJ ajst-19344 90 41 model model NOUN ajst-19344 90 42 ( ( PUNCT ajst-19344 90 43 6 6 NUM ajst-19344 90 44 ) ) PUNCT ajst-19344 90 45 where where SCONJ ajst-19344 90 46 pe pe PROPN ajst-19344 90 47 represents represent VERB ajst-19344 90 48 positional positional ADJ ajst-19344 90 49 encoding encoding NOUN ajst-19344 90 50 . . PUNCT ajst-19344 91 1 here here ADV ajst-19344 91 2 , , PUNCT ajst-19344 91 3 𝑿token 𝑿token PROPN ajst-19344 91 4 ∈ ∈ PROPN ajst-19344 91 5 ℝ ℝ PROPN ajst-19344 91 6 token token VERB ajst-19344 91 7 indicates indicate VERB ajst-19344 91 8 that that SCONJ ajst-19344 91 9 output output NOUN ajst-19344 91 10 predictions prediction NOUN ajst-19344 91 11 are be AUX ajst-19344 91 12 guided guide VERB ajst-19344 91 13 by by ADP ajst-19344 91 14 the the DET ajst-19344 91 15 starting starting NOUN ajst-19344 91 16 sequence sequence NOUN ajst-19344 91 17 . . PUNCT ajst-19344 92 1 it it PRON ajst-19344 92 2 represents represent VERB ajst-19344 92 3 using use VERB ajst-19344 92 4 a a DET ajst-19344 92 5 sequence sequence NOUN ajst-19344 92 6 slice slice NOUN ajst-19344 92 7 of of ADP ajst-19344 92 8 length length NOUN ajst-19344 92 9 𝐿token 𝐿token PROPN ajst-19344 92 10 prior prior ADV ajst-19344 92 11 to to ADP ajst-19344 92 12 the the DET ajst-19344 92 13 predicted predict VERB ajst-19344 92 14 target target NOUN ajst-19344 92 15 blood blood NOUN ajst-19344 92 16 pressure pressure NOUN ajst-19344 92 17 sequence sequence NOUN ajst-19344 92 18 as as ADP ajst-19344 92 19 a a DET ajst-19344 92 20 starting starting NOUN ajst-19344 92 21 marker marker NOUN ajst-19344 92 22 for for ADP ajst-19344 92 23 the the DET ajst-19344 92 24 predictions prediction NOUN ajst-19344 92 25 . . PUNCT ajst-19344 93 1 y y PROPN ajst-19344 93 2 ∈ ∈ PROPN ajst-19344 93 3 ℝ ℝ PROPN ajst-19344 93 4 is be AUX ajst-19344 93 5 a a DET ajst-19344 93 6 placeholder placeholder NOUN ajst-19344 93 7 for for SCONJ ajst-19344 93 8 the the DET ajst-19344 93 9 target target NOUN ajst-19344 93 10 sequence sequence NOUN ajst-19344 93 11 to to PART ajst-19344 93 12 be be AUX ajst-19344 93 13 predicted predict VERB ajst-19344 93 14 ( ( PUNCT ajst-19344 93 15 set set VERB ajst-19344 93 16 to to ADP ajst-19344 93 17 0 0 NUM ajst-19344 93 18 ) ) PUNCT ajst-19344 93 19 . . PUNCT ajst-19344 94 1 the the DET ajst-19344 94 2 generative generative ADJ ajst-19344 94 3 decoder decoder NOUN ajst-19344 94 4 directly directly ADV ajst-19344 94 5 generates generate VERB ajst-19344 94 6 the the DET ajst-19344 94 7 target target NOUN ajst-19344 94 8 blood blood NOUN ajst-19344 94 9 pressure pressure NOUN ajst-19344 94 10 sequence sequence NOUN ajst-19344 94 11 through through ADP ajst-19344 94 12 a a DET ajst-19344 94 13 fully fully ADV ajst-19344 94 14 connected connect VERB ajst-19344 94 15 layer layer NOUN ajst-19344 94 16 , , PUNCT ajst-19344 94 17 avoiding avoid VERB ajst-19344 94 18 the the DET ajst-19344 94 19 error error NOUN ajst-19344 94 20 accumulation accumulation NOUN ajst-19344 94 21 associated associate VERB ajst-19344 94 22 with with ADP ajst-19344 94 23 the the DET ajst-19344 94 24 step step NOUN ajst-19344 94 25 - - PUNCT ajst-19344 94 26 bystep bystep NOUN ajst-19344 94 27 inference inference NOUN ajst-19344 94 28 of of ADP ajst-19344 94 29 traditional traditional ADJ ajst-19344 94 30 autoregressive autoregressive ADJ ajst-19344 94 31 decoders decoder NOUN ajst-19344 94 32 . . PUNCT ajst-19344 95 1 2.6 2.6 NUM ajst-19344 95 2 . . PUNCT ajst-19344 96 1 loss loss NOUN ajst-19344 96 2 function function NOUN ajst-19344 96 3 when when SCONJ ajst-19344 96 4 predicting predict VERB ajst-19344 96 5 the the DET ajst-19344 96 6 target target NOUN ajst-19344 96 7 sequence sequence NOUN ajst-19344 96 8 , , PUNCT ajst-19344 96 9 the the DET ajst-19344 96 10 mean mean ADJ ajst-19344 96 11 square square ADJ ajst-19344 96 12 error error NOUN ajst-19344 96 13 ( ( PUNCT ajst-19344 96 14 mse mse NOUN ajst-19344 96 15 ) ) PUNCT ajst-19344 96 16 is be AUX ajst-19344 96 17 chosen choose VERB ajst-19344 96 18 as as ADP ajst-19344 96 19 the the DET ajst-19344 96 20 loss loss NOUN ajst-19344 96 21 function function NOUN ajst-19344 96 22 , , PUNCT ajst-19344 96 23 where where SCONJ ajst-19344 96 24 π‘Œ π‘Œ PROPN ajst-19344 96 25 and and CCONJ ajst-19344 96 26 π‘Œ π‘Œ PROPN ajst-19344 96 27 represent represent VERB ajst-19344 96 28 the the DET ajst-19344 96 29 actual actual ADJ ajst-19344 96 30 value value NOUN ajst-19344 96 31 and and CCONJ ajst-19344 96 32 the the DET ajst-19344 96 33 predicted predict VERB ajst-19344 96 34 value value NOUN ajst-19344 96 35 , , PUNCT ajst-19344 96 36 respectively respectively ADV ajst-19344 96 37 . . PUNCT ajst-19344 97 1 the the DET ajst-19344 97 2 loss loss NOUN ajst-19344 97 3 function function NOUN ajst-19344 97 4 is be AUX ajst-19344 97 5 defined define VERB ajst-19344 97 6 as as SCONJ ajst-19344 97 7 follows follow VERB ajst-19344 97 8 : : PUNCT ajst-19344 97 9 π‘™π‘œπ‘ π‘  π‘™π‘œπ‘ π‘  VERB ajst-19344 97 10 βˆ‘ βˆ‘ PUNCT ajst-19344 97 11 π‘Œ π‘Œ PROPN ajst-19344 97 12 π‘Œ π‘Œ PROPN ajst-19344 97 13 ( ( PUNCT ajst-19344 97 14 7 7 NUM ajst-19344 97 15 ) ) SYM ajst-19344 97 16 3 3 NUM ajst-19344 97 17 . . PUNCT ajst-19344 97 18 experiment experiment NOUN ajst-19344 97 19 3.1 3.1 NUM ajst-19344 97 20 . . PUNCT ajst-19344 98 1 dataset dataset VERB ajst-19344 98 2 the the DET ajst-19344 98 3 data data NOUN ajst-19344 98 4 description description NOUN ajst-19344 98 5 is be AUX ajst-19344 98 6 presented present VERB ajst-19344 98 7 in in ADP ajst-19344 98 8 table table NOUN ajst-19344 98 9 1 1 NUM ajst-19344 98 10 . . PUNCT ajst-19344 99 1 the the DET ajst-19344 99 2 dataset dataset NOUN ajst-19344 99 3 originates originate NOUN ajst-19344 99 4 from from ADP ajst-19344 99 5 intraoperative intraoperative ADJ ajst-19344 99 6 physiological physiological ADJ ajst-19344 99 7 monitoring monitoring NOUN ajst-19344 99 8 data datum NOUN ajst-19344 99 9 of of ADP ajst-19344 99 10 all all DET ajst-19344 99 11 hepato hepato NOUN ajst-19344 99 12 - - PUNCT ajst-19344 99 13 pancreato pancreato NOUN ajst-19344 99 14 - - PUNCT ajst-19344 99 15 biliary biliary NOUN ajst-19344 99 16 surgery surgery NOUN ajst-19344 99 17 patients patient NOUN ajst-19344 99 18 collected collect VERB ajst-19344 99 19 via via ADP ajst-19344 99 20 monitors monitor NOUN ajst-19344 99 21 at at ADP ajst-19344 99 22 a a DET ajst-19344 99 23 hospital hospital NOUN ajst-19344 99 24 , , PUNCT ajst-19344 99 25 comprising comprise VERB ajst-19344 99 26 a a DET ajst-19344 99 27 total total NOUN ajst-19344 99 28 of of ADP ajst-19344 99 29 150 150 NUM ajst-19344 99 30 surgeries surgery NOUN ajst-19344 99 31 . . PUNCT ajst-19344 100 1 to to PART ajst-19344 100 2 ensure ensure VERB ajst-19344 100 3 the the DET ajst-19344 100 4 universality universality NOUN ajst-19344 100 5 of of ADP ajst-19344 100 6 the the DET ajst-19344 100 7 research research NOUN ajst-19344 100 8 , , PUNCT ajst-19344 100 9 only only ADV ajst-19344 100 10 11 11 NUM ajst-19344 100 11 common common ADJ ajst-19344 100 12 physiological physiological ADJ ajst-19344 100 13 indicators indicator NOUN ajst-19344 100 14 that that PRON ajst-19344 100 15 are be AUX ajst-19344 100 16 typically typically ADV ajst-19344 100 17 monitored monitor VERB ajst-19344 100 18 during during ADP ajst-19344 100 19 surgeries surgery NOUN ajst-19344 100 20 were be AUX ajst-19344 100 21 selected select VERB ajst-19344 100 22 . . PUNCT ajst-19344 101 1 these these DET ajst-19344 101 2 indicators indicator NOUN ajst-19344 101 3 cover cover VERB ajst-19344 101 4 the the DET ajst-19344 101 5 majority majority NOUN ajst-19344 101 6 of of ADP ajst-19344 101 7 those those PRON ajst-19344 101 8 used use VERB ajst-19344 101 9 in in ADP ajst-19344 101 10 current current ADJ ajst-19344 101 11 intraoperative intraoperative ADJ ajst-19344 101 12 hypotension hypotension NOUN ajst-19344 101 13 prediction prediction NOUN ajst-19344 101 14 research research NOUN ajst-19344 101 15 and and CCONJ ajst-19344 101 16 all all DET ajst-19344 101 17 data datum NOUN ajst-19344 101 18 were be AUX ajst-19344 101 19 collected collect VERB ajst-19344 101 20 at at ADP ajst-19344 101 21 a a DET ajst-19344 101 22 frequency frequency NOUN ajst-19344 101 23 of of ADP ajst-19344 101 24 every every DET ajst-19344 101 25 5 5 NUM ajst-19344 101 26 seconds second NOUN ajst-19344 101 27 . . PUNCT ajst-19344 102 1 the the DET ajst-19344 102 2 study study NOUN ajst-19344 102 3 focuses focus VERB ajst-19344 102 4 on on ADP ajst-19344 102 5 non non ADJ ajst-19344 102 6 - - ADJ ajst-19344 102 7 invasive invasive ADJ ajst-19344 102 8 blood blood NOUN ajst-19344 102 9 pressure pressure NOUN ajst-19344 102 10 as as ADP ajst-19344 102 11 the the DET ajst-19344 102 12 prediction prediction NOUN ajst-19344 102 13 target target NOUN ajst-19344 102 14 . . PUNCT ajst-19344 103 1 table table NOUN ajst-19344 103 2 1 1 NUM ajst-19344 103 3 data datum NOUN ajst-19344 103 4 description description NOUN ajst-19344 103 5 data datum NOUN ajst-19344 103 6 type type NOUN ajst-19344 103 7 data datum NOUN ajst-19344 103 8 content content NOUN ajst-19344 103 9 target target NOUN ajst-19344 103 10 data datum NOUN ajst-19344 103 11 diastolic diastolic NOUN ajst-19344 103 12 blood blood NOUN ajst-19344 103 13 pressure pressure NOUN ajst-19344 103 14 ( ( PUNCT ajst-19344 103 15 dbp dbp PROPN ajst-19344 103 16 ) ) PUNCT ajst-19344 103 17 mean mean VERB ajst-19344 103 18 arterial arterial ADJ ajst-19344 103 19 pressure pressure NOUN ajst-19344 103 20 ( ( PUNCT ajst-19344 103 21 map map NOUN ajst-19344 103 22 ) ) PUNCT ajst-19344 103 23 systolic systolic ADJ ajst-19344 103 24 blood blood NOUN ajst-19344 103 25 pressure pressure NOUN ajst-19344 103 26 ( ( PUNCT ajst-19344 103 27 sbp sbp NOUN ajst-19344 103 28 ) ) PUNCT ajst-19344 103 29 related relate VERB ajst-19344 103 30 data datum NOUN ajst-19344 103 31 heart heart NOUN ajst-19344 103 32 rate rate NOUN ajst-19344 103 33 pulse pulse NOUN ajst-19344 103 34 rate rate NOUN ajst-19344 103 35 oxygen oxygen NOUN ajst-19344 103 36 saturation saturation NOUN ajst-19344 103 37 perfusion perfusion NOUN ajst-19344 103 38 index index NOUN ajst-19344 103 39 inspired inspire VERB ajst-19344 103 40 oxygen oxygen NOUN ajst-19344 103 41 concentration concentration NOUN ajst-19344 103 42 end end NOUN ajst-19344 103 43 - - PUNCT ajst-19344 103 44 tidal tidal ADJ ajst-19344 103 45 carbon carbon NOUN ajst-19344 103 46 dioxide dioxide NOUN ajst-19344 103 47 concentration concentration NOUN ajst-19344 103 48 end end NOUN ajst-19344 103 49 - - PUNCT ajst-19344 103 50 tidal tidal ADJ ajst-19344 103 51 oxygen oxygen NOUN ajst-19344 103 52 concentration concentration NOUN ajst-19344 103 53 tidal tidal NOUN ajst-19344 103 54 end end VERB ajst-19344 103 55 carbon carbon NOUN ajst-19344 103 56 dioxide dioxide NOUN ajst-19344 103 57 concentration concentration NOUN ajst-19344 103 58 diastolic diastolic NOUN ajst-19344 103 59 blood blood NOUN ajst-19344 103 60 pressure pressure NOUN ajst-19344 103 61 mean mean VERB ajst-19344 103 62 arterial arterial ADJ ajst-19344 103 63 pressure pressure NOUN ajst-19344 103 64 systolic systolic ADJ ajst-19344 103 65 blood blood NOUN ajst-19344 103 66 pressure pressure NOUN ajst-19344 103 67 a a DET ajst-19344 103 68 common common ADJ ajst-19344 103 69 sliding slide VERB ajst-19344 103 70 window window NOUN ajst-19344 103 71 technique technique NOUN ajst-19344 103 72 is be AUX ajst-19344 103 73 used use VERB ajst-19344 103 74 to to PART ajst-19344 103 75 construct construct VERB ajst-19344 103 76 samples sample NOUN ajst-19344 103 77 by by ADP ajst-19344 103 78 dividing divide VERB ajst-19344 103 79 continuous continuous ADJ ajst-19344 103 80 time time NOUN ajst-19344 103 81 data datum NOUN ajst-19344 103 82 into into ADP ajst-19344 103 83 fixed fix VERB ajst-19344 103 84 - - PUNCT ajst-19344 103 85 length length NOUN ajst-19344 103 86 data datum NOUN ajst-19344 103 87 blocks block NOUN ajst-19344 103 88 to to PART ajst-19344 103 89 create create VERB ajst-19344 103 90 a a DET ajst-19344 103 91 sample sample NOUN ajst-19344 103 92 set set VERB ajst-19344 103 93 using use VERB ajst-19344 103 94 a a DET ajst-19344 103 95 sliding slide VERB ajst-19344 103 96 window window NOUN ajst-19344 103 97 . . PUNCT ajst-19344 104 1 as as SCONJ ajst-19344 104 2 the the DET ajst-19344 104 3 sliding slide VERB ajst-19344 104 4 window window NOUN ajst-19344 104 5 moves move VERB ajst-19344 104 6 backward backward ADV ajst-19344 104 7 , , PUNCT ajst-19344 104 8 each each DET ajst-19344 104 9 new new ADJ ajst-19344 104 10 data datum NOUN ajst-19344 104 11 block block NOUN ajst-19344 104 12 is be AUX ajst-19344 104 13 obtained obtain VERB ajst-19344 104 14 by by ADP ajst-19344 104 15 shifting shift VERB ajst-19344 104 16 the the DET ajst-19344 104 17 previous previous ADJ ajst-19344 104 18 block block NOUN ajst-19344 104 19 back back ADV ajst-19344 104 20 by by ADP ajst-19344 104 21 one one NUM ajst-19344 104 22 step step NOUN ajst-19344 104 23 length length NOUN ajst-19344 104 24 , , PUNCT ajst-19344 104 25 allowing allow VERB ajst-19344 104 26 each each DET ajst-19344 104 27 data datum NOUN ajst-19344 104 28 block block VERB ajst-19344 104 29 to to PART ajst-19344 104 30 contain contain VERB ajst-19344 104 31 data datum NOUN ajst-19344 104 32 points point NOUN ajst-19344 104 33 from from ADP ajst-19344 104 34 before before ADV ajst-19344 104 35 and and CCONJ ajst-19344 104 36 after after ADP ajst-19344 104 37 in in ADP ajst-19344 104 38 time time NOUN ajst-19344 104 39 , , PUNCT ajst-19344 104 40 ensuring ensure VERB ajst-19344 104 41 a a DET ajst-19344 104 42 certain certain ADJ ajst-19344 104 43 degree degree NOUN ajst-19344 104 44 of of ADP ajst-19344 104 45 overlap overlap NOUN ajst-19344 104 46 and and CCONJ ajst-19344 104 47 continuity continuity NOUN ajst-19344 104 48 between between ADP ajst-19344 104 49 data datum NOUN ajst-19344 104 50 blocks block NOUN ajst-19344 104 51 . . PUNCT ajst-19344 105 1 the the DET ajst-19344 105 2 sliding slide VERB ajst-19344 105 3 window window NOUN ajst-19344 105 4 consists consist VERB ajst-19344 105 5 of of ADP ajst-19344 105 6 two two NUM ajst-19344 105 7 parts part NOUN ajst-19344 105 8 : : PUNCT ajst-19344 105 9 the the DET ajst-19344 105 10 retrospective retrospective ADJ ajst-19344 105 11 window window NOUN ajst-19344 105 12 and and CCONJ ajst-19344 105 13 the the DET ajst-19344 105 14 prediction prediction NOUN ajst-19344 105 15 window window NOUN ajst-19344 105 16 . . PUNCT ajst-19344 106 1 the the DET ajst-19344 106 2 retrospective retrospective ADJ ajst-19344 106 3 window window NOUN ajst-19344 106 4 is be AUX ajst-19344 106 5 used use VERB ajst-19344 106 6 for for ADP ajst-19344 106 7 input input NOUN ajst-19344 106 8 and and CCONJ ajst-19344 106 9 includes include VERB ajst-19344 106 10 historical historical ADJ ajst-19344 106 11 physiological physiological ADJ ajst-19344 106 12 sequence sequence NOUN ajst-19344 106 13 data datum NOUN ajst-19344 106 14 for for ADP ajst-19344 106 15 prediction prediction NOUN ajst-19344 106 16 , , PUNCT ajst-19344 106 17 while while SCONJ ajst-19344 106 18 the the DET ajst-19344 106 19 prediction prediction NOUN ajst-19344 106 20 window window NOUN ajst-19344 106 21 corresponds correspond VERB ajst-19344 106 22 to to ADP ajst-19344 106 23 the the DET ajst-19344 106 24 predicted predict VERB ajst-19344 106 25 label label NOUN ajst-19344 106 26 , , PUNCT ajst-19344 106 27 containing contain VERB ajst-19344 106 28 observed observe VERB ajst-19344 106 29 values value NOUN ajst-19344 106 30 of of ADP ajst-19344 106 31 the the DET ajst-19344 106 32 current current ADJ ajst-19344 106 33 physiological physiological ADJ ajst-19344 106 34 sequence sequence NOUN ajst-19344 106 35 . . PUNCT ajst-19344 107 1 around around ADP ajst-19344 107 2 50,000 50,000 NUM ajst-19344 107 3 samples sample NOUN ajst-19344 107 4 were be AUX ajst-19344 107 5 divided divide VERB ajst-19344 107 6 in in ADP ajst-19344 107 7 total total NOUN ajst-19344 107 8 . . PUNCT ajst-19344 108 1 3.2 3.2 NUM ajst-19344 108 2 . . PUNCT ajst-19344 108 3 metrics metric NOUN ajst-19344 108 4 to to PART ajst-19344 108 5 evaluate evaluate VERB ajst-19344 108 6 predictive predictive ADJ ajst-19344 108 7 performance performance NOUN ajst-19344 108 8 , , PUNCT ajst-19344 108 9 the the DET ajst-19344 108 10 mean mean ADJ ajst-19344 108 11 absolute absolute ADJ ajst-19344 108 12 error error NOUN ajst-19344 108 13 ( ( PUNCT ajst-19344 108 14 mae mae PROPN ajst-19344 108 15 ) ) PUNCT ajst-19344 108 16 and and CCONJ ajst-19344 108 17 the the DET ajst-19344 108 18 root root NOUN ajst-19344 108 19 mean mean VERB ajst-19344 108 20 square square ADJ ajst-19344 108 21 error error NOUN ajst-19344 108 22 ( ( PUNCT ajst-19344 108 23 rmse rmse NOUN ajst-19344 108 24 ) ) PUNCT ajst-19344 108 25 are be AUX ajst-19344 108 26 used use VERB ajst-19344 108 27 to to PART ajst-19344 108 28 measure measure VERB ajst-19344 108 29 the the DET ajst-19344 108 30 error error NOUN ajst-19344 108 31 of of ADP ajst-19344 108 32 predicted predict VERB ajst-19344 108 33 values value NOUN ajst-19344 108 34 . . PUNCT ajst-19344 109 1 mae mae PROPN ajst-19344 109 2 ( ( PUNCT ajst-19344 109 3 see see VERB ajst-19344 109 4 equation equation NOUN ajst-19344 109 5 ( ( PUNCT ajst-19344 109 6 9 9 NUM ajst-19344 109 7 ) ) PUNCT ajst-19344 109 8 ) ) PUNCT ajst-19344 109 9 is be AUX ajst-19344 109 10 used use VERB ajst-19344 109 11 to to PART ajst-19344 109 12 assess assess VERB ajst-19344 109 13 the the DET ajst-19344 109 14 absolute absolute ADJ ajst-19344 109 15 value value NOUN ajst-19344 109 16 of of ADP ajst-19344 109 17 the the DET ajst-19344 109 18 error error NOUN ajst-19344 109 19 between between ADP ajst-19344 109 20 the the DET ajst-19344 109 21 predicted predict VERB ajst-19344 109 22 blood blood NOUN ajst-19344 109 23 pressure pressure NOUN ajst-19344 109 24 values value NOUN ajst-19344 109 25 by by ADP ajst-19344 109 26 the the DET ajst-19344 109 27 model model NOUN ajst-19344 109 28 and and CCONJ ajst-19344 109 29 the the DET ajst-19344 109 30 true true ADJ ajst-19344 109 31 values value NOUN ajst-19344 109 32 , , PUNCT ajst-19344 109 33 while while SCONJ ajst-19344 109 34 rmse rmse NOUN ajst-19344 109 35 ( ( PUNCT ajst-19344 109 36 see see VERB ajst-19344 109 37 equation equation NOUN ajst-19344 109 38 ( ( PUNCT ajst-19344 109 39 8) 8) NUM ajst-19344 109 40 ) ) PUNCT ajst-19344 109 41 imposes impose VERB ajst-19344 109 42 a a DET ajst-19344 109 43 greater great ADJ ajst-19344 109 44 penalty penalty NOUN ajst-19344 109 45 on on ADP ajst-19344 109 46 outlier outlier ADJ ajst-19344 109 47 values value NOUN ajst-19344 109 48 , , PUNCT ajst-19344 109 49 both both DET ajst-19344 109 50 units unit NOUN ajst-19344 109 51 being be AUX ajst-19344 109 52 mmhg mmhg NOUN ajst-19344 109 53 . . PUNCT ajst-19344 110 1 the the PRON ajst-19344 110 2 smaller small ADJ ajst-19344 110 3 these these DET ajst-19344 110 4 two two NUM ajst-19344 110 5 metrics metric NOUN ajst-19344 110 6 are be AUX ajst-19344 110 7 , , PUNCT ajst-19344 110 8 the the DET ajst-19344 110 9 better well ADJ ajst-19344 110 10 . . PUNCT ajst-19344 111 1 additionally additionally ADV ajst-19344 111 2 , , PUNCT ajst-19344 111 3 the the DET ajst-19344 111 4 correlation correlation NOUN ajst-19344 111 5 coefficient coefficient NOUN ajst-19344 111 6 ( ( PUNCT ajst-19344 111 7 corr corr PROPN ajst-19344 111 8 ) ) PUNCT ajst-19344 111 9 ( ( PUNCT ajst-19344 111 10 see see VERB ajst-19344 111 11 equation equation NOUN ajst-19344 111 12 ( ( PUNCT ajst-19344 111 13 10 10 NUM ajst-19344 111 14 ) ) PUNCT ajst-19344 111 15 ) ) PUNCT ajst-19344 111 16 is be AUX ajst-19344 111 17 used use VERB ajst-19344 111 18 to to PART ajst-19344 111 19 evaluate evaluate VERB ajst-19344 111 20 the the DET ajst-19344 111 21 linear linear ADJ ajst-19344 111 22 trend trend NOUN ajst-19344 111 23 correlation correlation NOUN ajst-19344 111 24 between between ADP ajst-19344 111 25 the the DET ajst-19344 111 26 actual actual ADJ ajst-19344 111 27 blood blood NOUN ajst-19344 111 28 pressure pressure NOUN ajst-19344 111 29 sequence sequence NOUN ajst-19344 111 30 and and CCONJ ajst-19344 111 31 the the DET ajst-19344 111 32 predicted predict VERB ajst-19344 111 33 blood blood NOUN ajst-19344 111 34 pressure pressure NOUN ajst-19344 111 35 460 460 NUM ajst-19344 111 36 sequence sequence NOUN ajst-19344 111 37 . . PUNCT ajst-19344 112 1 the the DET ajst-19344 112 2 value value NOUN ajst-19344 112 3 of of ADP ajst-19344 112 4 corr corr PROPN ajst-19344 112 5 ranges range VERB ajst-19344 112 6 from from ADP ajst-19344 112 7 -1 -1 INTJ ajst-19344 112 8 to to ADP ajst-19344 112 9 1 1 NUM ajst-19344 112 10 , , PUNCT ajst-19344 112 11 representing represent VERB ajst-19344 112 12 negative negative ADJ ajst-19344 112 13 and and CCONJ ajst-19344 112 14 positive positive ADJ ajst-19344 112 15 correlation correlation NOUN ajst-19344 112 16 between between ADP ajst-19344 112 17 sequences sequence NOUN ajst-19344 112 18 , , PUNCT ajst-19344 112 19 respectively respectively ADV ajst-19344 112 20 . . PUNCT ajst-19344 113 1 the the PRON ajst-19344 113 2 closer close ADV ajst-19344 113 3 the the DET ajst-19344 113 4 corr corr NOUN ajst-19344 113 5 is be AUX ajst-19344 113 6 to to ADP ajst-19344 113 7 1 1 NUM ajst-19344 113 8 , , PUNCT ajst-19344 113 9 the the PRON ajst-19344 113 10 stronger strong ADJ ajst-19344 113 11 the the DET ajst-19344 113 12 correlation correlation NOUN ajst-19344 113 13 . . PUNCT ajst-19344 114 1 𝑅𝑀𝑆𝐸 𝑅𝑀𝑆𝐸 NOUN ajst-19344 114 2 βˆ‘ βˆ‘ PUNCT ajst-19344 114 3 𝑦 𝑦 PRON ajst-19344 114 4 𝑦 𝑦 NOUN ajst-19344 114 5 ( ( PUNCT ajst-19344 114 6 8) 8) NUM ajst-19344 114 7 𝑀𝐴𝐸 𝑀𝐴𝐸 PROPN ajst-19344 114 8 βˆ‘ βˆ‘ PUNCT ajst-19344 114 9 |𝑦 |𝑦 PROPN ajst-19344 114 10 𝑦 𝑦 PROPN ajst-19344 114 11 | | NOUN ajst-19344 114 12 ( ( PUNCT ajst-19344 114 13 9 9 X ajst-19344 114 14 ) ) PUNCT ajst-19344 114 15 𝐢𝑂𝑅𝑅 𝐢𝑂𝑅𝑅 NOUN ajst-19344 114 16 mean mean NOUN ajst-19344 114 17 mean mean VERB ajst-19344 114 18 β‹… β‹… PROPN ajst-19344 114 19 mean mean NOUN ajst-19344 114 20 ( ( PUNCT ajst-19344 114 21 10 10 NUM ajst-19344 114 22 ) ) PUNCT ajst-19344 114 23 3.3 3.3 NUM ajst-19344 114 24 . . PUNCT ajst-19344 115 1 experimental experimental ADJ ajst-19344 115 2 settings setting NOUN ajst-19344 115 3 in in ADP ajst-19344 115 4 the the DET ajst-19344 115 5 task task NOUN ajst-19344 115 6 of of ADP ajst-19344 115 7 intraoperative intraoperative ADJ ajst-19344 115 8 blood blood NOUN ajst-19344 115 9 pressure pressure NOUN ajst-19344 115 10 prediction prediction NOUN ajst-19344 115 11 , , PUNCT ajst-19344 115 12 the the DET ajst-19344 115 13 experiment experiment NOUN ajst-19344 115 14 is be AUX ajst-19344 115 15 set set VERB ajst-19344 115 16 up up ADP ajst-19344 115 17 to to PART ajst-19344 115 18 predict predict VERB ajst-19344 115 19 blood blood NOUN ajst-19344 115 20 pressure pressure NOUN ajst-19344 115 21 for for ADP ajst-19344 115 22 5 5 NUM ajst-19344 115 23 , , PUNCT ajst-19344 115 24 10 10 NUM ajst-19344 115 25 , , PUNCT ajst-19344 115 26 and and CCONJ ajst-19344 115 27 15 15 NUM ajst-19344 115 28 minutes minute NOUN ajst-19344 115 29 into into ADP ajst-19344 115 30 the the DET ajst-19344 115 31 future future NOUN ajst-19344 115 32 , , PUNCT ajst-19344 115 33 corresponding correspond VERB ajst-19344 115 34 to to ADP ajst-19344 115 35 prediction prediction NOUN ajst-19344 115 36 time time NOUN ajst-19344 115 37 steps step NOUN ajst-19344 115 38 of of ADP ajst-19344 115 39 60 60 NUM ajst-19344 115 40 , , PUNCT ajst-19344 115 41 120 120 NUM ajst-19344 115 42 , , PUNCT ajst-19344 115 43 and and CCONJ ajst-19344 115 44 180 180 NUM ajst-19344 115 45 , , PUNCT ajst-19344 115 46 respectively respectively ADV ajst-19344 115 47 . . PUNCT ajst-19344 116 1 these these DET ajst-19344 116 2 three three NUM ajst-19344 116 3 prediction prediction NOUN ajst-19344 116 4 ranges range NOUN ajst-19344 116 5 are be AUX ajst-19344 116 6 compared compare VERB ajst-19344 116 7 in in ADP ajst-19344 116 8 the the DET ajst-19344 116 9 experiment experiment NOUN ajst-19344 116 10 . . PUNCT ajst-19344 117 1 the the DET ajst-19344 117 2 5 5 NUM ajst-19344 117 3 - - PUNCT ajst-19344 117 4 minute minute NOUN ajst-19344 117 5 mark mark NOUN ajst-19344 117 6 is be AUX ajst-19344 117 7 the the DET ajst-19344 117 8 benchmark benchmark NOUN ajst-19344 117 9 for for ADP ajst-19344 117 10 most most ADJ ajst-19344 117 11 hypotension hypotension NOUN ajst-19344 117 12 prediction prediction NOUN ajst-19344 117 13 tasks task NOUN ajst-19344 117 14 , , PUNCT ajst-19344 117 15 allowing allow VERB ajst-19344 117 16 clinical clinical ADJ ajst-19344 117 17 doctors doctor NOUN ajst-19344 117 18 to to PART ajst-19344 117 19 take take VERB ajst-19344 117 20 timely timely ADJ ajst-19344 117 21 measures measure NOUN ajst-19344 117 22 based base VERB ajst-19344 117 23 on on ADP ajst-19344 117 24 the the DET ajst-19344 117 25 prediction prediction NOUN ajst-19344 117 26 results result NOUN ajst-19344 117 27 within within ADP ajst-19344 117 28 this this DET ajst-19344 117 29 window window NOUN ajst-19344 117 30 . . PUNCT ajst-19344 118 1 the the DET ajst-19344 118 2 10 10 NUM ajst-19344 118 3 and and CCONJ ajst-19344 118 4 15 15 NUM ajst-19344 118 5 - - PUNCT ajst-19344 118 6 minute minute NOUN ajst-19344 118 7 marks mark NOUN ajst-19344 118 8 are be AUX ajst-19344 118 9 used use VERB ajst-19344 118 10 to to PART ajst-19344 118 11 evaluate evaluate VERB ajst-19344 118 12 the the DET ajst-19344 118 13 model model NOUN ajst-19344 118 14 's 's PART ajst-19344 118 15 effectiveness effectiveness NOUN ajst-19344 118 16 for for ADP ajst-19344 118 17 longer long ADJ ajst-19344 118 18 - - PUNCT ajst-19344 118 19 sequence sequence NOUN ajst-19344 118 20 predictions prediction NOUN ajst-19344 118 21 within within ADP ajst-19344 118 22 an an DET ajst-19344 118 23 acceptable acceptable ADJ ajst-19344 118 24 error error NOUN ajst-19344 118 25 range range NOUN ajst-19344 118 26 , , PUNCT ajst-19344 118 27 providing provide VERB ajst-19344 118 28 more more ADJ ajst-19344 118 29 decision decision NOUN ajst-19344 118 30 - - PUNCT ajst-19344 118 31 making making NOUN ajst-19344 118 32 time time NOUN ajst-19344 118 33 for for ADP ajst-19344 118 34 clinical clinical ADJ ajst-19344 118 35 practice practice NOUN ajst-19344 118 36 . . PUNCT ajst-19344 119 1 all all DET ajst-19344 119 2 experiments experiment NOUN ajst-19344 119 3 use use VERB ajst-19344 119 4 5 5 NUM ajst-19344 119 5 - - ADJ ajst-19344 119 6 fold fold ADJ ajst-19344 119 7 cross cross NOUN ajst-19344 119 8 - - NOUN ajst-19344 119 9 validation validation ADJ ajst-19344 119 10 , , PUNCT ajst-19344 119 11 with with ADP ajst-19344 119 12 the the DET ajst-19344 119 13 final final ADJ ajst-19344 119 14 results result NOUN ajst-19344 119 15 being be AUX ajst-19344 119 16 the the DET ajst-19344 119 17 average average NOUN ajst-19344 119 18 . . PUNCT ajst-19344 120 1 in in ADP ajst-19344 120 2 terms term NOUN ajst-19344 120 3 of of ADP ajst-19344 120 4 model model NOUN ajst-19344 120 5 parameter parameter NOUN ajst-19344 120 6 settings setting NOUN ajst-19344 120 7 , , PUNCT ajst-19344 120 8 the the DET ajst-19344 120 9 model model NOUN ajst-19344 120 10 training training NOUN ajst-19344 120 11 uses use VERB ajst-19344 120 12 an an DET ajst-19344 120 13 adam adam PROPN ajst-19344 120 14 optimizer optimizer NOUN ajst-19344 120 15 with with ADP ajst-19344 120 16 an an DET ajst-19344 120 17 initial initial ADJ ajst-19344 120 18 learning learning NOUN ajst-19344 120 19 rate rate NOUN ajst-19344 120 20 of of ADP ajst-19344 120 21 10 10 NUM ajst-19344 120 22 , , PUNCT ajst-19344 120 23 a a DET ajst-19344 120 24 batch batch NOUN ajst-19344 120 25 size size NOUN ajst-19344 120 26 of of ADP ajst-19344 120 27 64 64 NUM ajst-19344 120 28 , , PUNCT ajst-19344 120 29 and and CCONJ ajst-19344 120 30 a a DET ajst-19344 120 31 maximum maximum ADJ ajst-19344 120 32 number number NOUN ajst-19344 120 33 of of ADP ajst-19344 120 34 training training NOUN ajst-19344 120 35 epochs epoch NOUN ajst-19344 120 36 set set VERB ajst-19344 120 37 at at ADP ajst-19344 120 38 100 100 NUM ajst-19344 120 39 , , PUNCT ajst-19344 120 40 with with ADP ajst-19344 120 41 an an DET ajst-19344 120 42 early early ADJ ajst-19344 120 43 stopping stopping NOUN ajst-19344 120 44 mechanism mechanism NOUN ajst-19344 120 45 in in ADP ajst-19344 120 46 place place NOUN ajst-19344 120 47 . . PUNCT ajst-19344 121 1 the the DET ajst-19344 121 2 da da ADJ ajst-19344 121 3 - - PUNCT ajst-19344 121 4 bpformer bpformer NOUN ajst-19344 121 5 model model NOUN ajst-19344 121 6 parameters parameter NOUN ajst-19344 121 7 , , PUNCT ajst-19344 121 8 adjusted adjust VERB ajst-19344 121 9 through through ADP ajst-19344 121 10 experimentation experimentation NOUN ajst-19344 121 11 , , PUNCT ajst-19344 121 12 are be AUX ajst-19344 121 13 set set VERB ajst-19344 121 14 with with ADP ajst-19344 121 15 a a DET ajst-19344 121 16 convolutional convolutional ADJ ajst-19344 121 17 kernel kernel NOUN ajst-19344 121 18 size size NOUN ajst-19344 121 19 of of ADP ajst-19344 121 20 3 3 NUM ajst-19344 121 21 for for ADP ajst-19344 121 22 the the DET ajst-19344 121 23 convolutional convolutional ADJ ajst-19344 121 24 attention attention NOUN ajst-19344 121 25 , , PUNCT ajst-19344 121 26 a a DET ajst-19344 121 27 model model NOUN ajst-19344 121 28 hidden hide VERB ajst-19344 121 29 layer layer NOUN ajst-19344 121 30 dimension dimension NOUN ajst-19344 121 31 of of ADP ajst-19344 121 32 512 512 NUM ajst-19344 121 33 , , PUNCT ajst-19344 121 34 encoder encoder NOUN ajst-19344 121 35 layers layer NOUN ajst-19344 121 36 set set VERB ajst-19344 121 37 to to ADP ajst-19344 121 38 2 2 NUM ajst-19344 121 39 , , PUNCT ajst-19344 121 40 decoder decoder NOUN ajst-19344 121 41 layers layer NOUN ajst-19344 121 42 set set VERB ajst-19344 121 43 to to ADP ajst-19344 121 44 1 1 NUM ajst-19344 121 45 , , PUNCT ajst-19344 121 46 and and CCONJ ajst-19344 121 47 a a DET ajst-19344 121 48 dropout dropout NOUN ajst-19344 121 49 rate rate NOUN ajst-19344 121 50 of of ADP ajst-19344 121 51 0.05 0.05 NUM ajst-19344 121 52 . . PUNCT ajst-19344 122 1 3.4 3.4 NUM ajst-19344 122 2 . . PUNCT ajst-19344 122 3 experimental experimental ADJ ajst-19344 122 4 results result NOUN ajst-19344 122 5 and and CCONJ ajst-19344 122 6 analysis analysis NOUN ajst-19344 122 7 3.4.1 3.4.1 NUM ajst-19344 122 8 . . PUNCT ajst-19344 122 9 comparison comparison NOUN ajst-19344 122 10 with with ADP ajst-19344 122 11 standardization standardization NOUN ajst-19344 122 12 methods method NOUN ajst-19344 122 13 to to PART ajst-19344 122 14 visually visually ADV ajst-19344 122 15 demonstrate demonstrate VERB ajst-19344 122 16 the the DET ajst-19344 122 17 effectiveness effectiveness NOUN ajst-19344 122 18 of of ADP ajst-19344 122 19 the the DET ajst-19344 122 20 distribution distribution NOUN ajst-19344 122 21 adaptation adaptation NOUN ajst-19344 122 22 strategy strategy NOUN ajst-19344 122 23 in in ADP ajst-19344 122 24 blood blood NOUN ajst-19344 122 25 pressure pressure NOUN ajst-19344 122 26 prediction prediction NOUN ajst-19344 122 27 tasks task NOUN ajst-19344 122 28 , , PUNCT ajst-19344 122 29 the the DET ajst-19344 122 30 study study NOUN ajst-19344 122 31 designed design VERB ajst-19344 122 32 the the DET ajst-19344 122 33 following follow VERB ajst-19344 122 34 comparative comparative ADJ ajst-19344 122 35 experiments experiment NOUN ajst-19344 122 36 . . PUNCT ajst-19344 123 1 firstly firstly ADV ajst-19344 123 2 , , PUNCT ajst-19344 123 3 the the DET ajst-19344 123 4 informer informer NOUN ajst-19344 123 5 and and CCONJ ajst-19344 123 6 the the DET ajst-19344 123 7 bpformer bpformer NOUN ajst-19344 123 8 from from ADP ajst-19344 123 9 this this DET ajst-19344 123 10 article article NOUN ajst-19344 123 11 were be AUX ajst-19344 123 12 selected select VERB ajst-19344 123 13 as as ADP ajst-19344 123 14 the the DET ajst-19344 123 15 baseline baseline NOUN ajst-19344 123 16 models model NOUN ajst-19344 123 17 . . PUNCT ajst-19344 124 1 in in ADP ajst-19344 124 2 the the DET ajst-19344 124 3 comparative comparative ADJ ajst-19344 124 4 experiments experiment NOUN ajst-19344 124 5 , , PUNCT ajst-19344 124 6 the the DET ajst-19344 124 7 following follow VERB ajst-19344 124 8 notations notation NOUN ajst-19344 124 9 were be AUX ajst-19344 124 10 used use VERB ajst-19344 124 11 to to PART ajst-19344 124 12 represent represent VERB ajst-19344 124 13 different different ADJ ajst-19344 124 14 model model NOUN ajst-19344 124 15 configurations configuration NOUN ajst-19344 124 16 : : PUNCT ajst-19344 124 17 " " PUNCT ajst-19344 124 18 -- -- PUNCT ajst-19344 124 19 " " PUNCT ajst-19344 124 20 indicates indicate VERB ajst-19344 124 21 the the DET ajst-19344 124 22 performance performance NOUN ajst-19344 124 23 data datum NOUN ajst-19344 124 24 of of ADP ajst-19344 124 25 the the DET ajst-19344 124 26 baseline baseline NOUN ajst-19344 124 27 model model NOUN ajst-19344 124 28 from from ADP ajst-19344 124 29 the the DET ajst-19344 124 30 model model NOUN ajst-19344 124 31 comparison comparison NOUN ajst-19344 124 32 experiments experiment NOUN ajst-19344 124 33 in in ADP ajst-19344 124 34 the the DET ajst-19344 124 35 previous previous ADJ ajst-19344 124 36 chapter chapter NOUN ajst-19344 124 37 ; ; PUNCT ajst-19344 124 38 " " PUNCT ajst-19344 124 39 -z -z X ajst-19344 124 40 " " PUNCT ajst-19344 124 41 refers refer VERB ajst-19344 124 42 to to ADP ajst-19344 124 43 the the DET ajst-19344 124 44 method method NOUN ajst-19344 124 45 where where SCONJ ajst-19344 124 46 the the DET ajst-19344 124 47 model model NOUN ajst-19344 124 48 is be AUX ajst-19344 124 49 trained train VERB ajst-19344 124 50 directly directly ADV ajst-19344 124 51 with with ADP ajst-19344 124 52 raw raw ADJ ajst-19344 124 53 data datum NOUN ajst-19344 124 54 without without ADP ajst-19344 124 55 any any DET ajst-19344 124 56 global global ADJ ajst-19344 124 57 standardization standardization NOUN ajst-19344 124 58 ; ; PUNCT ajst-19344 124 59 " " PUNCT ajst-19344 124 60 + + ADJ ajst-19344 124 61 ns ns ADJ ajst-19344 124 62 " " PUNCT ajst-19344 124 63 denotes denote NOUN ajst-19344 124 64 that that SCONJ ajst-19344 124 65 the the DET ajst-19344 124 66 model model NOUN ajst-19344 124 67 employs employ VERB ajst-19344 124 68 a a DET ajst-19344 124 69 non non ADJ ajst-19344 124 70 - - ADJ ajst-19344 124 71 stationary stationary ADJ ajst-19344 124 72 attention attention NOUN ajst-19344 124 73 architecture[12 architecture[12 PROPN ajst-19344 124 74 ] ] PUNCT ajst-19344 124 75 ; ; PUNCT ajst-19344 124 76 " " PUNCT ajst-19344 124 77 + + NOUN ajst-19344 124 78 da da NOUN ajst-19344 124 79 " " PUNCT ajst-19344 124 80 signifies signifie NOUN ajst-19344 124 81 that that SCONJ ajst-19344 124 82 the the DET ajst-19344 124 83 model model NOUN ajst-19344 124 84 incorporates incorporate VERB ajst-19344 124 85 the the DET ajst-19344 124 86 distribution distribution NOUN ajst-19344 124 87 adaptive adaptive ADJ ajst-19344 124 88 attention attention NOUN ajst-19344 124 89 architecture architecture NOUN ajst-19344 124 90 proposed propose VERB ajst-19344 124 91 in in ADP ajst-19344 124 92 this this DET ajst-19344 124 93 paper paper NOUN ajst-19344 124 94 ; ; PUNCT ajst-19344 124 95 " " PUNCT ajst-19344 124 96 + + NOUN ajst-19344 124 97 re re NOUN ajst-19344 124 98 " " PUNCT ajst-19344 124 99 represents represent VERB ajst-19344 124 100 the the DET ajst-19344 124 101 use use NOUN ajst-19344 124 102 of of ADP ajst-19344 124 103 revin[9 revin[9 NOUN ajst-19344 124 104 ] ] PUNCT ajst-19344 124 105 for for ADP ajst-19344 124 106 adaptive adaptive ADJ ajst-19344 124 107 normalization normalization NOUN ajst-19344 124 108 at at ADP ajst-19344 124 109 the the DET ajst-19344 124 110 input input NOUN ajst-19344 124 111 and and CCONJ ajst-19344 124 112 output output NOUN ajst-19344 124 113 stages stage NOUN ajst-19344 124 114 . . PUNCT ajst-19344 125 1 with with ADP ajst-19344 125 2 such such ADJ ajst-19344 125 3 comparative comparative ADJ ajst-19344 125 4 setups setup NOUN ajst-19344 125 5 , , PUNCT ajst-19344 125 6 it it PRON ajst-19344 125 7 is be AUX ajst-19344 125 8 possible possible ADJ ajst-19344 125 9 to to PART ajst-19344 125 10 accurately accurately ADV ajst-19344 125 11 evaluate evaluate VERB ajst-19344 125 12 the the DET ajst-19344 125 13 effectiveness effectiveness NOUN ajst-19344 125 14 of of ADP ajst-19344 125 15 the the DET ajst-19344 125 16 distribution distribution NOUN ajst-19344 125 17 adaptive adaptive ADJ ajst-19344 125 18 architecture architecture NOUN ajst-19344 125 19 in in ADP ajst-19344 125 20 blood blood NOUN ajst-19344 125 21 pressure pressure NOUN ajst-19344 125 22 prediction prediction NOUN ajst-19344 125 23 tasks task NOUN ajst-19344 125 24 . . PUNCT ajst-19344 126 1 it it PRON ajst-19344 126 2 also also ADV ajst-19344 126 3 showcases showcase VERB ajst-19344 126 4 the the DET ajst-19344 126 5 specific specific ADJ ajst-19344 126 6 impacts impact NOUN ajst-19344 126 7 of of ADP ajst-19344 126 8 different different ADJ ajst-19344 126 9 data datum NOUN ajst-19344 126 10 processing processing NOUN ajst-19344 126 11 methods method NOUN ajst-19344 126 12 and and CCONJ ajst-19344 126 13 architectural architectural ADJ ajst-19344 126 14 choices choice NOUN ajst-19344 126 15 on on ADP ajst-19344 126 16 the the DET ajst-19344 126 17 predictive predictive ADJ ajst-19344 126 18 performance performance NOUN ajst-19344 126 19 . . PUNCT ajst-19344 127 1 the the DET ajst-19344 127 2 final final ADJ ajst-19344 127 3 results result NOUN ajst-19344 127 4 are be AUX ajst-19344 127 5 obtained obtain VERB ajst-19344 127 6 by by ADP ajst-19344 127 7 averaging average VERB ajst-19344 127 8 the the DET ajst-19344 127 9 prediction prediction NOUN ajst-19344 127 10 errors error NOUN ajst-19344 127 11 for for ADP ajst-19344 127 12 dbp dbp PROPN ajst-19344 127 13 , , PUNCT ajst-19344 127 14 sbp sbp NOUN ajst-19344 127 15 and and CCONJ ajst-19344 127 16 map map NOUN ajst-19344 127 17 . . PUNCT ajst-19344 128 1 the the DET ajst-19344 128 2 experimental experimental ADJ ajst-19344 128 3 results result NOUN ajst-19344 128 4 from from ADP ajst-19344 128 5 table table NOUN ajst-19344 128 6 2 2 NUM ajst-19344 128 7 indicate indicate VERB ajst-19344 128 8 that that SCONJ ajst-19344 128 9 both both DET ajst-19344 128 10 informer informer NOUN ajst-19344 128 11 and and CCONJ ajst-19344 128 12 bpformer bpformer NOUN ajst-19344 128 13 saw see VERB ajst-19344 128 14 significant significant ADJ ajst-19344 128 15 performance performance NOUN ajst-19344 128 16 improvements improvement NOUN ajst-19344 128 17 when when SCONJ ajst-19344 128 18 integrated integrate VERB ajst-19344 128 19 with with ADP ajst-19344 128 20 the the DET ajst-19344 128 21 distribution distribution NOUN ajst-19344 128 22 adaptive adaptive ADJ ajst-19344 128 23 ( ( PUNCT ajst-19344 128 24 + + NOUN ajst-19344 128 25 da da ADJ ajst-19344 128 26 ) ) PUNCT ajst-19344 128 27 architecture architecture NOUN ajst-19344 128 28 , , PUNCT ajst-19344 128 29 with with ADP ajst-19344 128 30 the the DET ajst-19344 128 31 da da NOUN ajst-19344 128 32 - - NOUN ajst-19344 128 33 bpformer bpformer NOUN ajst-19344 128 34 from from ADP ajst-19344 128 35 this this DET ajst-19344 128 36 paper paper NOUN ajst-19344 128 37 showing show VERB ajst-19344 128 38 enhancements enhancement NOUN ajst-19344 128 39 across across ADP ajst-19344 128 40 all all DET ajst-19344 128 41 evaluation evaluation NOUN ajst-19344 128 42 metrics metric NOUN ajst-19344 128 43 compared compare VERB ajst-19344 128 44 to to ADP ajst-19344 128 45 the the DET ajst-19344 128 46 original original ADJ ajst-19344 128 47 baseline baseline NOUN ajst-19344 128 48 . . PUNCT ajst-19344 129 1 specifically specifically ADV ajst-19344 129 2 , , PUNCT ajst-19344 129 3 for for ADP ajst-19344 129 4 prediction prediction NOUN ajst-19344 129 5 lengths length NOUN ajst-19344 129 6 of of ADP ajst-19344 129 7 5 5 NUM ajst-19344 129 8 , , PUNCT ajst-19344 129 9 10 10 NUM ajst-19344 129 10 , , PUNCT ajst-19344 129 11 and and CCONJ ajst-19344 129 12 15 15 NUM ajst-19344 129 13 minutes minute NOUN ajst-19344 129 14 , , PUNCT ajst-19344 129 15 the the DET ajst-19344 129 16 mae mae PROPN ajst-19344 129 17 reduced reduce VERB ajst-19344 129 18 by by ADP ajst-19344 129 19 1.53 1.53 NUM ajst-19344 129 20 % % NOUN ajst-19344 129 21 , , PUNCT ajst-19344 129 22 3.17 3.17 NUM ajst-19344 129 23 % % NOUN ajst-19344 129 24 , , PUNCT ajst-19344 129 25 and and CCONJ ajst-19344 129 26 6.92 6.92 NUM ajst-19344 129 27 % % NOUN ajst-19344 129 28 respectively respectively ADV ajst-19344 129 29 , , PUNCT ajst-19344 129 30 while while SCONJ ajst-19344 129 31 the the DET ajst-19344 129 32 rmse rmse NOUN ajst-19344 129 33 decreased decrease VERB ajst-19344 129 34 by by ADP ajst-19344 129 35 4.07 4.07 NUM ajst-19344 129 36 % % NOUN ajst-19344 129 37 , , PUNCT ajst-19344 129 38 4.60 4.60 NUM ajst-19344 129 39 % % NOUN ajst-19344 129 40 , , PUNCT ajst-19344 129 41 and and CCONJ ajst-19344 129 42 4.47 4.47 NUM ajst-19344 129 43 % % NOUN ajst-19344 129 44 . . PUNCT ajst-19344 130 1 given give VERB ajst-19344 130 2 that that DET ajst-19344 130 3 rmse rmse NOUN ajst-19344 130 4 is be AUX ajst-19344 130 5 a a DET ajst-19344 130 6 metric metric ADJ ajst-19344 130 7 table table NOUN ajst-19344 130 8 2 2 NUM ajst-19344 130 9 . . PUNCT ajst-19344 130 10 comparative comparative ADJ ajst-19344 130 11 experimental experimental ADJ ajst-19344 130 12 results result NOUN ajst-19344 130 13 of of ADP ajst-19344 130 14 different different ADJ ajst-19344 130 15 methods method NOUN ajst-19344 130 16 model model VERB ajst-19344 130 17 metric metric ADJ ajst-19344 130 18 5 5 NUM ajst-19344 130 19 minutes minute NOUN ajst-19344 130 20 10 10 NUM ajst-19344 130 21 minutes minute NOUN ajst-19344 130 22 15 15 NUM ajst-19344 130 23 minutes minute NOUN ajst-19344 130 24 mae mae PROPN ajst-19344 130 25 rmse rmse PROPN ajst-19344 130 26 corr corr PROPN ajst-19344 130 27 mae mae PROPN ajst-19344 130 28 rmse rmse PROPN ajst-19344 130 29 corr corr PROPN ajst-19344 130 30 mae mae PROPN ajst-19344 130 31 rmse rmse PROPN ajst-19344 130 32 corr corr PROPN ajst-19344 130 33 informer informer NOUN ajst-19344 130 34 -3.439 -3.439 NUM ajst-19344 130 35 6.476 6.476 NUM ajst-19344 130 36 0.881 0.881 NUM ajst-19344 130 37 4.092 4.092 NUM ajst-19344 130 38 7.222 7.222 NUM ajst-19344 130 39 0.844 0.844 NUM ajst-19344 130 40 4.511 4.511 NUM ajst-19344 130 41 7.732 7.732 NUM ajst-19344 130 42 0.814 0.814 NUM ajst-19344 130 43 -z -z PUNCT ajst-19344 130 44 5.597 5.597 NUM ajst-19344 130 45 9.144 9.144 NUM ajst-19344 130 46 0.741 0.741 NUM ajst-19344 130 47 7.048 7.048 NUM ajst-19344 130 48 10.719 10.719 NUM ajst-19344 130 49 0.612 0.612 NUM ajst-19344 130 50 7.066 7.066 NUM ajst-19344 130 51 10.748 10.748 NUM ajst-19344 130 52 0.608 0.608 NUM ajst-19344 131 1 + + NOUN ajst-19344 131 2 ns[12 ns[12 X ajst-19344 131 3 ] ] X ajst-19344 131 4 3.721 3.721 NUM ajst-19344 131 5 6.601 6.601 NUM ajst-19344 131 6 0.878 0.878 NUM ajst-19344 131 7 4.372 4.372 NUM ajst-19344 131 8 7.354 7.354 NUM ajst-19344 131 9 0.835 0.835 NUM ajst-19344 131 10 4.785 4.785 NUM ajst-19344 131 11 7.912 7.912 NUM ajst-19344 131 12 0.803 0.803 NUM ajst-19344 131 13 + + CCONJ ajst-19344 131 14 re[9 re[9 X ajst-19344 131 15 ] ] PUNCT ajst-19344 131 16 4.281 4.281 NUM ajst-19344 131 17 7.159 7.159 NUM ajst-19344 131 18 0.855 0.855 NUM ajst-19344 131 19 4.567 4.567 NUM ajst-19344 131 20 7.590 7.590 NUM ajst-19344 131 21 0.831 0.831 NUM ajst-19344 131 22 4.672 4.672 NUM ajst-19344 131 23 7.647 7.647 NUM ajst-19344 131 24 0.816 0.816 NUM ajst-19344 132 1 + + ADP ajst-19344 132 2 da da PROPN ajst-19344 132 3 3.487 3.487 NUM ajst-19344 132 4 6.244 6.244 NUM ajst-19344 132 5 0.891 0.891 NUM ajst-19344 132 6 3.929 3.929 NUM ajst-19344 132 7 6.782 6.782 NUM ajst-19344 132 8 0.865 0.865 NUM ajst-19344 132 9 4.127 4.127 NUM ajst-19344 132 10 7.073 7.073 NUM ajst-19344 132 11 0.848 0.848 NUM ajst-19344 132 12 dpformer dpformer NOUN ajst-19344 132 13 -3.271 -3.271 PUNCT ajst-19344 132 14 6.300 6.300 NUM ajst-19344 132 15 0.886 0.886 NUM ajst-19344 132 16 3.755 3.755 NUM ajst-19344 132 17 6.846 6.846 NUM ajst-19344 132 18 0.860 0.860 NUM ajst-19344 132 19 4.132 4.132 NUM ajst-19344 132 20 7.293 7.293 NUM ajst-19344 132 21 0.836 0.836 NUM ajst-19344 132 22 -z -z NUM ajst-19344 132 23 5.596 5.596 NUM ajst-19344 132 24 9.177 9.177 NUM ajst-19344 132 25 0.739 0.739 NUM ajst-19344 132 26 6.792 6.792 NUM ajst-19344 132 27 10.462 10.462 NUM ajst-19344 132 28 0.634 0.634 NUM ajst-19344 132 29 7.154 7.154 NUM ajst-19344 132 30 10.831 10.831 NUM ajst-19344 132 31 0.595 0.595 NUM ajst-19344 132 32 + + NOUN ajst-19344 132 33 ns[12 ns[12 X ajst-19344 132 34 ] ] X ajst-19344 132 35 3.532 3.532 NUM ajst-19344 132 36 6.428 6.428 NUM ajst-19344 132 37 0.884 0.884 NUM ajst-19344 132 38 3.947 3.947 NUM ajst-19344 132 39 6.981 6.981 NUM ajst-19344 132 40 0.858 0.858 NUM ajst-19344 132 41 4.301 4.301 NUM ajst-19344 132 42 7.403 7.403 NUM ajst-19344 132 43 0.831 0.831 NUM ajst-19344 132 44 + + NOUN ajst-19344 132 45 re[9 re[9 X ajst-19344 132 46 ] ] X ajst-19344 133 1 4.007 4.007 NUM ajst-19344 133 2 6.846 6.846 NUM ajst-19344 133 3 0.867 0.867 NUM ajst-19344 133 4 4.161 4.161 NUM ajst-19344 133 5 7.118 7.118 NUM ajst-19344 133 6 0.852 0.852 NUM ajst-19344 133 7 4.323 4.323 NUM ajst-19344 133 8 7.238 7.238 NUM ajst-19344 133 9 0.836 0.836 NUM ajst-19344 133 10 + + NOUN ajst-19344 133 11 da da NOUN ajst-19344 133 12 3.221 3.221 NUM ajst-19344 133 13 5.990 5.990 NUM ajst-19344 133 14 0.898 0.898 NUM ajst-19344 133 15 3.636 3.636 NUM ajst-19344 133 16 6.470 6.470 NUM ajst-19344 133 17 0.876 0.876 NUM ajst-19344 133 18 3.846 3.846 NUM ajst-19344 133 19 6.757 6.757 NUM ajst-19344 133 20 0.860 0.860 NUM ajst-19344 133 21 more more ADV ajst-19344 133 22 sensitive sensitive ADJ ajst-19344 133 23 to to ADP ajst-19344 133 24 outliers outlier NOUN ajst-19344 133 25 , , PUNCT ajst-19344 133 26 its its PRON ajst-19344 133 27 significant significant ADJ ajst-19344 133 28 reduction reduction NOUN ajst-19344 133 29 compared compare VERB ajst-19344 133 30 to to ADP ajst-19344 133 31 mae mae PROPN ajst-19344 133 32 suggests suggest VERB ajst-19344 133 33 that that SCONJ ajst-19344 133 34 the the DET ajst-19344 133 35 distribution distribution NOUN ajst-19344 133 36 adaptive adaptive ADJ ajst-19344 133 37 architecture architecture NOUN ajst-19344 133 38 is be AUX ajst-19344 133 39 capable capable ADJ ajst-19344 133 40 of of ADP ajst-19344 133 41 identifying identify VERB ajst-19344 133 42 and and CCONJ ajst-19344 133 43 handling handle VERB ajst-19344 133 44 non non ADJ ajst-19344 133 45 - - ADJ ajst-19344 133 46 stationary stationary ADJ ajst-19344 133 47 events event NOUN ajst-19344 133 48 . . PUNCT ajst-19344 134 1 furthermore furthermore ADV ajst-19344 134 2 , , PUNCT ajst-19344 134 3 the the DET ajst-19344 134 4 paper paper NOUN ajst-19344 134 5 also also ADV ajst-19344 134 6 examined examine VERB ajst-19344 134 7 the the DET ajst-19344 134 8 performance performance NOUN ajst-19344 134 9 of of ADP ajst-19344 134 10 the the DET ajst-19344 134 11 models model NOUN ajst-19344 134 12 on on ADP ajst-19344 134 13 non non ADJ ajst-19344 134 14 - - ADJ ajst-19344 134 15 standardized standardized ADJ ajst-19344 134 16 data datum NOUN ajst-19344 134 17 ( ( PUNCT ajst-19344 134 18 -z -z NOUN ajst-19344 134 19 ) ) PUNCT ajst-19344 134 20 , , PUNCT ajst-19344 134 21 where where SCONJ ajst-19344 134 22 the the DET ajst-19344 134 23 models model NOUN ajst-19344 134 24 were be AUX ajst-19344 134 25 applied apply VERB ajst-19344 134 26 directly directly ADV ajst-19344 134 27 to to ADP ajst-19344 134 28 the the DET ajst-19344 134 29 raw raw ADJ ajst-19344 134 30 , , PUNCT ajst-19344 134 31 unstandardized unstandardized ADJ ajst-19344 134 32 data datum NOUN ajst-19344 134 33 for for ADP ajst-19344 134 34 training training NOUN ajst-19344 134 35 . . PUNCT ajst-19344 135 1 the the DET ajst-19344 135 2 results result NOUN ajst-19344 135 3 indicated indicate VERB ajst-19344 135 4 a a DET ajst-19344 135 5 significant significant ADJ ajst-19344 135 6 drop drop NOUN ajst-19344 135 7 in in ADP ajst-19344 135 8 performance performance NOUN ajst-19344 135 9 for for ADP ajst-19344 135 10 both both DET ajst-19344 135 11 informer informer NOUN ajst-19344 135 12 and and CCONJ ajst-19344 135 13 bpformer bpformer NOUN ajst-19344 135 14 , , PUNCT ajst-19344 135 15 further far ADV ajst-19344 135 16 emphasizing emphasize VERB ajst-19344 135 17 the the DET ajst-19344 135 18 importance importance NOUN ajst-19344 135 19 of of ADP ajst-19344 135 20 data datum NOUN ajst-19344 135 21 standardization standardization NOUN ajst-19344 135 22 for for ADP ajst-19344 135 23 model model NOUN ajst-19344 135 24 performance performance NOUN ajst-19344 135 25 in in ADP ajst-19344 135 26 blood blood NOUN ajst-19344 135 27 pressure pressure NOUN ajst-19344 135 28 prediction prediction NOUN ajst-19344 135 29 tasks task NOUN ajst-19344 135 30 . . PUNCT ajst-19344 136 1 in in ADP ajst-19344 136 2 the the DET ajst-19344 136 3 + + ADJ ajst-19344 136 4 ns ns ADJ ajst-19344 136 5 experiment experiment NOUN ajst-19344 136 6 group group NOUN ajst-19344 136 7 , , PUNCT ajst-19344 136 8 the the DET ajst-19344 136 9 results result NOUN ajst-19344 136 10 showed show VERB ajst-19344 136 11 that that SCONJ ajst-19344 136 12 the the DET ajst-19344 136 13 performance performance NOUN ajst-19344 136 14 of of ADP ajst-19344 136 15 the the DET ajst-19344 136 16 distribution distribution NOUN ajst-19344 136 17 adaptive adaptive ADJ ajst-19344 136 18 strategy strategy NOUN ajst-19344 136 19 in in ADP ajst-19344 136 20 this this DET ajst-19344 136 21 paper paper NOUN ajst-19344 136 22 was be AUX ajst-19344 136 23 superior superior ADJ ajst-19344 136 24 to to ADP ajst-19344 136 25 that that PRON ajst-19344 136 26 of of ADP ajst-19344 136 27 the the DET ajst-19344 136 28 original original ADJ ajst-19344 136 29 non non ADJ ajst-19344 136 30 - - ADJ ajst-19344 136 31 stationary stationary ADJ ajst-19344 136 32 attention attention NOUN ajst-19344 136 33 architecture architecture NOUN ajst-19344 136 34 . . PUNCT ajst-19344 137 1 the the DET ajst-19344 137 2 performance performance NOUN ajst-19344 137 3 difference difference NOUN ajst-19344 137 4 likely likely ADV ajst-19344 137 5 stems stem VERB ajst-19344 137 6 from from ADP ajst-19344 137 7 the the DET ajst-19344 137 8 way way NOUN ajst-19344 137 9 distribution distribution NOUN ajst-19344 137 10 information information NOUN ajst-19344 137 11 is be AUX ajst-19344 137 12 extracted extract VERB ajst-19344 137 13 . . PUNCT ajst-19344 138 1 in in ADP ajst-19344 138 2 the the DET ajst-19344 138 3 nonstationary nonstationary ADJ ajst-19344 138 4 attention attention NOUN ajst-19344 138 5 architecture architecture NOUN ajst-19344 138 6 , , PUNCT ajst-19344 138 7 statistical statistical ADJ ajst-19344 138 8 information information NOUN ajst-19344 138 9 is be AUX ajst-19344 138 10 directly directly ADV ajst-19344 138 11 extracted extract VERB ajst-19344 138 12 from from ADP ajst-19344 138 13 the the DET ajst-19344 138 14 raw raw ADJ ajst-19344 138 15 sequence sequence NOUN ajst-19344 138 16 to to PART ajst-19344 138 17 integrate integrate VERB ajst-19344 138 18 nonstationary nonstationary ADJ ajst-19344 138 19 features feature NOUN ajst-19344 138 20 before before SCONJ ajst-19344 138 21 normalization normalization NOUN ajst-19344 138 22 is be AUX ajst-19344 138 23 performed perform VERB ajst-19344 138 24 . . PUNCT ajst-19344 139 1 the the DET ajst-19344 139 2 issue issue NOUN ajst-19344 139 3 with with ADP ajst-19344 139 4 this this DET ajst-19344 139 5 approach approach NOUN ajst-19344 139 6 is be AUX ajst-19344 139 7 that that SCONJ ajst-19344 139 8 if if SCONJ ajst-19344 139 9 the the DET ajst-19344 139 10 raw raw ADJ ajst-19344 139 11 data data NOUN ajst-19344 139 12 contains contain VERB ajst-19344 139 13 significant significant ADJ ajst-19344 139 14 disparities disparity NOUN ajst-19344 139 15 or or CCONJ ajst-19344 139 16 outliers outlier NOUN ajst-19344 139 17 , , PUNCT ajst-19344 139 18 the the DET ajst-19344 139 19 early early ADV ajst-19344 139 20 - - PUNCT ajst-19344 139 21 extracted extract VERB ajst-19344 139 22 statistical statistical ADJ ajst-19344 139 23 information information NOUN ajst-19344 139 24 might might AUX ajst-19344 139 25 cause cause VERB ajst-19344 139 26 the the DET ajst-19344 139 27 attention attention NOUN ajst-19344 139 28 mechanism mechanism NOUN ajst-19344 139 29 to to PART ajst-19344 139 30 overemphasize overemphasize VERB ajst-19344 139 31 these these DET ajst-19344 139 32 anomalous anomalous ADJ ajst-19344 139 33 data datum NOUN ajst-19344 139 34 points point NOUN ajst-19344 139 35 , , PUNCT ajst-19344 139 36 thus thus ADV ajst-19344 139 37 overlooking overlook VERB ajst-19344 139 38 other other ADJ ajst-19344 139 39 important important ADJ ajst-19344 139 40 information information NOUN ajst-19344 139 41 . . PUNCT ajst-19344 140 1 in in ADP ajst-19344 140 2 contrast contrast NOUN ajst-19344 140 3 , , PUNCT ajst-19344 140 4 the the DET ajst-19344 140 5 distribution distribution NOUN ajst-19344 140 6 adaptive adaptive ADJ ajst-19344 140 7 architecture architecture NOUN ajst-19344 140 8 in in ADP ajst-19344 140 9 this this DET ajst-19344 140 10 paper paper NOUN ajst-19344 140 11 takes take VERB ajst-19344 140 12 a a DET ajst-19344 140 13 461 461 NUM ajst-19344 140 14 different different ADJ ajst-19344 140 15 approach approach NOUN ajst-19344 140 16 : : PUNCT ajst-19344 140 17 it it PRON ajst-19344 140 18 first first ADV ajst-19344 140 19 globally globally ADV ajst-19344 140 20 standardizes standardize VERB ajst-19344 140 21 the the DET ajst-19344 140 22 data datum NOUN ajst-19344 140 23 and and CCONJ ajst-19344 140 24 then then ADV ajst-19344 140 25 extracts extract VERB ajst-19344 140 26 distribution distribution NOUN ajst-19344 140 27 information information NOUN ajst-19344 140 28 for for ADP ajst-19344 140 29 attention attention NOUN ajst-19344 140 30 weighting weighting NOUN ajst-19344 140 31 . . PUNCT ajst-19344 141 1 the the DET ajst-19344 141 2 normalized normalize VERB ajst-19344 141 3 data datum NOUN ajst-19344 141 4 can can AUX ajst-19344 141 5 effectively effectively ADV ajst-19344 141 6 reduce reduce VERB ajst-19344 141 7 the the DET ajst-19344 141 8 impact impact NOUN ajst-19344 141 9 of of ADP ajst-19344 141 10 disparities disparity NOUN ajst-19344 141 11 and and CCONJ ajst-19344 141 12 outliers outlier NOUN ajst-19344 141 13 , , PUNCT ajst-19344 141 14 allowing allow VERB ajst-19344 141 15 the the DET ajst-19344 141 16 attention attention NOUN ajst-19344 141 17 mechanism mechanism NOUN ajst-19344 141 18 to to PART ajst-19344 141 19 focus focus VERB ajst-19344 141 20 more more ADV ajst-19344 141 21 evenly evenly ADV ajst-19344 141 22 across across ADP ajst-19344 141 23 all all DET ajst-19344 141 24 features feature NOUN ajst-19344 141 25 . . PUNCT ajst-19344 142 1 however however ADV ajst-19344 142 2 , , PUNCT ajst-19344 142 3 in in ADP ajst-19344 142 4 the the DET ajst-19344 142 5 + + NOUN ajst-19344 142 6 re re ADJ ajst-19344 142 7 experiments experiment NOUN ajst-19344 142 8 , , PUNCT ajst-19344 142 9 despite despite SCONJ ajst-19344 142 10 using use VERB ajst-19344 142 11 the the DET ajst-19344 142 12 reversible reversible ADJ ajst-19344 142 13 adaptive adaptive ADJ ajst-19344 142 14 normalization normalization NOUN ajst-19344 142 15 module module NOUN ajst-19344 142 16 revin revin NOUN ajst-19344 142 17 at at ADP ajst-19344 142 18 the the DET ajst-19344 142 19 input input NOUN ajst-19344 142 20 and and CCONJ ajst-19344 142 21 output output NOUN ajst-19344 142 22 stages stage NOUN ajst-19344 142 23 , , PUNCT ajst-19344 142 24 its its PRON ajst-19344 142 25 effects effect NOUN ajst-19344 142 26 were be AUX ajst-19344 142 27 not not PART ajst-19344 142 28 as as ADV ajst-19344 142 29 good good ADJ ajst-19344 142 30 as as ADP ajst-19344 142 31 the the DET ajst-19344 142 32 aforementioned aforementioned ADJ ajst-19344 142 33 approaches approach NOUN ajst-19344 142 34 , , PUNCT ajst-19344 142 35 further far ADV ajst-19344 142 36 indicating indicate VERB ajst-19344 142 37 that that SCONJ ajst-19344 142 38 performing perform VERB ajst-19344 142 39 adaptive adaptive ADJ ajst-19344 142 40 normalization normalization NOUN ajst-19344 142 41 externally externally ADV ajst-19344 142 42 to to ADP ajst-19344 142 43 the the DET ajst-19344 142 44 model model NOUN ajst-19344 142 45 has have AUX ajst-19344 142 46 limited limit VERB ajst-19344 142 47 benefits benefit NOUN ajst-19344 142 48 for for ADP ajst-19344 142 49 enhancing enhance VERB ajst-19344 142 50 the the DET ajst-19344 142 51 model model NOUN ajst-19344 142 52 's 's PART ajst-19344 142 53 ability ability NOUN ajst-19344 142 54 to to PART ajst-19344 142 55 recognize recognize VERB ajst-19344 142 56 and and CCONJ ajst-19344 142 57 handle handle VERB ajst-19344 142 58 non non ADJ ajst-19344 142 59 - - ADJ ajst-19344 142 60 stationary stationary ADJ ajst-19344 142 61 information information NOUN ajst-19344 142 62 . . PUNCT ajst-19344 143 1 3.4.2 3.4.2 X ajst-19344 143 2 . . PUNCT ajst-19344 144 1 ablation ablation NOUN ajst-19344 144 2 of of ADP ajst-19344 144 3 adaptive adaptive ADJ ajst-19344 144 4 factors factor NOUN ajst-19344 144 5 to to PART ajst-19344 144 6 verify verify VERB ajst-19344 144 7 the the DET ajst-19344 144 8 impact impact NOUN ajst-19344 144 9 of of ADP ajst-19344 144 10 the the DET ajst-19344 144 11 adaptation adaptation NOUN ajst-19344 144 12 factors factor NOUN ajst-19344 144 13 𝜏 𝜏 NOUN ajst-19344 144 14 and and CCONJ ajst-19344 144 15 Ξ΄ Ξ΄ PROPN ajst-19344 144 16 on on ADP ajst-19344 144 17 the the DET ajst-19344 144 18 prediction prediction NOUN ajst-19344 144 19 results result NOUN ajst-19344 144 20 , , PUNCT ajst-19344 144 21 the the DET ajst-19344 144 22 following follow VERB ajst-19344 144 23 ablation ablation NOUN ajst-19344 144 24 experiments experiment NOUN ajst-19344 144 25 were be AUX ajst-19344 144 26 designed design VERB ajst-19344 144 27 : : PUNCT ajst-19344 144 28 Ξ΄ Ξ΄ PROPN ajst-19344 144 29 indicates indicate VERB ajst-19344 144 30 the the DET ajst-19344 144 31 integration integration NOUN ajst-19344 144 32 of of ADP ajst-19344 144 33 only only ADV ajst-19344 144 34 the the DET ajst-19344 144 35 Ξ΄ Ξ΄ PROPN ajst-19344 144 36 factor factor NOUN ajst-19344 144 37 , , PUNCT ajst-19344 144 38 meaning mean VERB ajst-19344 144 39 only only ADV ajst-19344 144 40 the the DET ajst-19344 144 41 data datum NOUN ajst-19344 144 42 's 's PART ajst-19344 144 43 offset offset NOUN ajst-19344 144 44 adjustment adjustment NOUN ajst-19344 144 45 is be AUX ajst-19344 144 46 considered consider VERB ajst-19344 144 47 , , PUNCT ajst-19344 144 48 while while SCONJ ajst-19344 144 49 𝜏 𝜏 PRON ajst-19344 144 50 represents represent VERB ajst-19344 144 51 the the DET ajst-19344 144 52 integration integration NOUN ajst-19344 144 53 of of ADP ajst-19344 144 54 only only ADV ajst-19344 144 55 the the DET ajst-19344 144 56 𝜏 𝜏 ADJ ajst-19344 144 57 factor factor NOUN ajst-19344 144 58 , , PUNCT ajst-19344 144 59 meaning mean VERB ajst-19344 144 60 only only ADV ajst-19344 144 61 the the DET ajst-19344 144 62 data datum NOUN ajst-19344 144 63 's 's PART ajst-19344 144 64 scale scale NOUN ajst-19344 144 65 adjustment adjustment NOUN ajst-19344 144 66 is be AUX ajst-19344 144 67 considered consider VERB ajst-19344 144 68 . . PUNCT ajst-19344 145 1 through through ADP ajst-19344 145 2 such such ADJ ajst-19344 145 3 experimental experimental ADJ ajst-19344 145 4 settings setting NOUN ajst-19344 145 5 , , PUNCT ajst-19344 145 6 it it PRON ajst-19344 145 7 is be AUX ajst-19344 145 8 possible possible ADJ ajst-19344 145 9 to to PART ajst-19344 145 10 independently independently ADV ajst-19344 145 11 evaluate evaluate VERB ajst-19344 145 12 the the DET ajst-19344 145 13 contribution contribution NOUN ajst-19344 145 14 of of ADP ajst-19344 145 15 each each DET ajst-19344 145 16 factor factor NOUN ajst-19344 145 17 to to ADP ajst-19344 145 18 the the DET ajst-19344 145 19 overall overall ADJ ajst-19344 145 20 prediction prediction NOUN ajst-19344 145 21 performance performance NOUN ajst-19344 145 22 when when SCONJ ajst-19344 145 23 acting act VERB ajst-19344 145 24 alone alone ADV ajst-19344 145 25 . . PUNCT ajst-19344 146 1 the the DET ajst-19344 146 2 experimental experimental ADJ ajst-19344 146 3 results result NOUN ajst-19344 146 4 from from ADP ajst-19344 146 5 table table NOUN ajst-19344 146 6 3 3 NUM ajst-19344 146 7 indicate indicate VERB ajst-19344 146 8 the the DET ajst-19344 146 9 inclusion inclusion NOUN ajst-19344 146 10 of of ADP ajst-19344 146 11 both both CCONJ ajst-19344 146 12 the the DET ajst-19344 146 13 scaling scaling ADJ ajst-19344 146 14 factor factor NOUN ajst-19344 146 15 Ο„ Ο„ PROPN ajst-19344 146 16 and and CCONJ ajst-19344 146 17 the the DET ajst-19344 146 18 shift shift NOUN ajst-19344 146 19 vector vector NOUN ajst-19344 146 20 Ξ΄ Ξ΄ PROPN ajst-19344 146 21 significantly significantly ADV ajst-19344 146 22 enhances enhance VERB ajst-19344 146 23 the the DET ajst-19344 146 24 model model NOUN ajst-19344 146 25 's 's PART ajst-19344 146 26 predictive predictive ADJ ajst-19344 146 27 performance performance NOUN ajst-19344 146 28 . . PUNCT ajst-19344 147 1 it it PRON ajst-19344 147 2 is be AUX ajst-19344 147 3 noticeable noticeable ADJ ajst-19344 147 4 that that SCONJ ajst-19344 147 5 the the DET ajst-19344 147 6 integration integration NOUN ajst-19344 147 7 of of ADP ajst-19344 147 8 𝜏 𝜏 PRON ajst-19344 147 9 alone alone ADJ ajst-19344 147 10 slightly slightly ADV ajst-19344 147 11 outperforms outperform NOUN ajst-19344 147 12 Ξ΄ Ξ΄ PROPN ajst-19344 147 13 , , PUNCT ajst-19344 147 14 which which PRON ajst-19344 147 15 may may AUX ajst-19344 147 16 be be AUX ajst-19344 147 17 due due ADJ ajst-19344 147 18 to to ADP ajst-19344 147 19 the the DET ajst-19344 147 20 fact fact NOUN ajst-19344 147 21 that that SCONJ ajst-19344 147 22 changes change NOUN ajst-19344 147 23 in in ADP ajst-19344 147 24 local local ADJ ajst-19344 147 25 variance variance NOUN ajst-19344 147 26 could could AUX ajst-19344 147 27 contain contain VERB ajst-19344 147 28 important important ADJ ajst-19344 147 29 clues clue NOUN ajst-19344 147 30 about about ADP ajst-19344 147 31 physiological physiological ADJ ajst-19344 147 32 state state NOUN ajst-19344 147 33 changes change NOUN ajst-19344 147 34 . . PUNCT ajst-19344 148 1 by by ADP ajst-19344 148 2 capturing capture VERB ajst-19344 148 3 the the DET ajst-19344 148 4 nuances nuance NOUN ajst-19344 148 5 of of ADP ajst-19344 148 6 local local ADJ ajst-19344 148 7 variance variance NOUN ajst-19344 148 8 fluctuations fluctuation NOUN ajst-19344 148 9 in in ADP ajst-19344 148 10 physiological physiological ADJ ajst-19344 148 11 sequences sequence NOUN ajst-19344 148 12 , , PUNCT ajst-19344 148 13 𝜏 𝜏 PRON ajst-19344 148 14 endows endow VERB ajst-19344 148 15 the the DET ajst-19344 148 16 model model NOUN ajst-19344 148 17 with with ADP ajst-19344 148 18 vital vital ADJ ajst-19344 148 19 insights insight NOUN ajst-19344 148 20 into into ADP ajst-19344 148 21 volatility volatility NOUN ajst-19344 148 22 , , PUNCT ajst-19344 148 23 which which PRON ajst-19344 148 24 could could AUX ajst-19344 148 25 be be AUX ajst-19344 148 26 particularly particularly ADV ajst-19344 148 27 pivotal pivotal ADJ ajst-19344 148 28 for for ADP ajst-19344 148 29 accurate accurate ADJ ajst-19344 148 30 blood blood NOUN ajst-19344 148 31 pressure pressure NOUN ajst-19344 148 32 forecasting forecasting NOUN ajst-19344 148 33 . . PUNCT ajst-19344 149 1 when when SCONJ ajst-19344 149 2 Ξ΄ Ξ΄ PROPN ajst-19344 149 3 and and CCONJ ajst-19344 149 4 𝜏 𝜏 NOUN ajst-19344 149 5 are be AUX ajst-19344 149 6 applied apply VERB ajst-19344 149 7 together together ADV ajst-19344 149 8 , , PUNCT ajst-19344 149 9 the the DET ajst-19344 149 10 model model NOUN ajst-19344 149 11 's 's PART ajst-19344 149 12 performance performance NOUN ajst-19344 149 13 improves improve VERB ajst-19344 149 14 on on ADP ajst-19344 149 15 short short ADJ ajst-19344 149 16 to to ADP ajst-19344 149 17 medium medium ADJ ajst-19344 149 18 - - PUNCT ajst-19344 149 19 term term NOUN ajst-19344 149 20 predictions prediction NOUN ajst-19344 149 21 of of ADP ajst-19344 149 22 5 5 NUM ajst-19344 149 23 and and CCONJ ajst-19344 149 24 10 10 NUM ajst-19344 149 25 minutes minute NOUN ajst-19344 149 26 , , PUNCT ajst-19344 149 27 showing show VERB ajst-19344 149 28 the the DET ajst-19344 149 29 advantage advantage NOUN ajst-19344 149 30 of of ADP ajst-19344 149 31 capturing capture VERB ajst-19344 149 32 local local ADJ ajst-19344 149 33 statistical statistical ADJ ajst-19344 149 34 characteristics characteristic NOUN ajst-19344 149 35 . . PUNCT ajst-19344 150 1 however however ADV ajst-19344 150 2 , , PUNCT ajst-19344 150 3 when when SCONJ ajst-19344 150 4 the the DET ajst-19344 150 5 prediction prediction NOUN ajst-19344 150 6 span span NOUN ajst-19344 150 7 is be AUX ajst-19344 150 8 extended extend VERB ajst-19344 150 9 to to ADP ajst-19344 150 10 long long ADJ ajst-19344 150 11 - - PUNCT ajst-19344 150 12 term term NOUN ajst-19344 150 13 predictions prediction NOUN ajst-19344 150 14 of of ADP ajst-19344 150 15 15 15 NUM ajst-19344 150 16 minutes minute NOUN ajst-19344 150 17 , , PUNCT ajst-19344 150 18 the the DET ajst-19344 150 19 contribution contribution NOUN ajst-19344 150 20 of of ADP ajst-19344 150 21 the the DET ajst-19344 150 22 combined combined ADJ ajst-19344 150 23 Ξ΄ Ξ΄ PROPN ajst-19344 150 24 𝜏 𝜏 NOUN ajst-19344 150 25 to to ADP ajst-19344 150 26 performance performance NOUN ajst-19344 150 27 improvement improvement NOUN ajst-19344 150 28 seems seem VERB ajst-19344 150 29 to to PART ajst-19344 150 30 become become VERB ajst-19344 150 31 marginal marginal ADJ ajst-19344 150 32 . . PUNCT ajst-19344 151 1 in in ADP ajst-19344 151 2 such such ADJ ajst-19344 151 3 cases case NOUN ajst-19344 151 4 , , PUNCT ajst-19344 151 5 the the DET ajst-19344 151 6 performance performance NOUN ajst-19344 151 7 of of ADP ajst-19344 151 8 the the DET ajst-19344 151 9 Ξ΄ Ξ΄ PROPN ajst-19344 151 10 𝜏 𝜏 PROPN ajst-19344 151 11 model model NOUN ajst-19344 151 12 configuration configuration NOUN ajst-19344 151 13 is be AUX ajst-19344 151 14 similar similar ADJ ajst-19344 151 15 to to ADP ajst-19344 151 16 when when SCONJ ajst-19344 151 17 using use VERB ajst-19344 151 18 𝜏 𝜏 ADP ajst-19344 151 19 alone alone ADV ajst-19344 151 20 , , PUNCT ajst-19344 151 21 suggesting suggest VERB ajst-19344 151 22 that that SCONJ ajst-19344 151 23 over over ADP ajst-19344 151 24 longer long ADJ ajst-19344 151 25 prediction prediction NOUN ajst-19344 151 26 intervals interval NOUN ajst-19344 151 27 , , PUNCT ajst-19344 151 28 the the DET ajst-19344 151 29 dynamics dynamic NOUN ajst-19344 151 30 and and CCONJ ajst-19344 151 31 distribution distribution NOUN ajst-19344 151 32 of of ADP ajst-19344 151 33 physiological physiological ADJ ajst-19344 151 34 sequences sequence NOUN ajst-19344 151 35 may may AUX ajst-19344 151 36 undergo undergo VERB ajst-19344 151 37 more more ADJ ajst-19344 151 38 complex complex ADJ ajst-19344 151 39 changes change NOUN ajst-19344 151 40 . . PUNCT ajst-19344 152 1 the the DET ajst-19344 152 2 shift shift NOUN ajst-19344 152 3 factor factor NOUN ajst-19344 152 4 Ξ΄ Ξ΄ PROPN ajst-19344 152 5 , , PUNCT ajst-19344 152 6 which which PRON ajst-19344 152 7 primarily primarily ADV ajst-19344 152 8 adjusts adjust VERB ajst-19344 152 9 the the DET ajst-19344 152 10 local local ADJ ajst-19344 152 11 mean mean NOUN ajst-19344 152 12 of of ADP ajst-19344 152 13 the the DET ajst-19344 152 14 data datum NOUN ajst-19344 152 15 , , PUNCT ajst-19344 152 16 may may AUX ajst-19344 152 17 not not PART ajst-19344 152 18 be be AUX ajst-19344 152 19 sufficient sufficient ADJ ajst-19344 152 20 to to PART ajst-19344 152 21 capture capture VERB ajst-19344 152 22 these these DET ajst-19344 152 23 complex complex ADJ ajst-19344 152 24 changes change NOUN ajst-19344 152 25 . . PUNCT ajst-19344 153 1 to to PART ajst-19344 153 2 better well ADV ajst-19344 153 3 predict predict VERB ajst-19344 153 4 the the DET ajst-19344 153 5 complex complex ADJ ajst-19344 153 6 distribution distribution NOUN ajst-19344 153 7 changes change NOUN ajst-19344 153 8 in in ADP ajst-19344 153 9 long long ADJ ajst-19344 153 10 - - PUNCT ajst-19344 153 11 term term NOUN ajst-19344 153 12 blood blood NOUN ajst-19344 153 13 pressure pressure NOUN ajst-19344 153 14 data datum NOUN ajst-19344 153 15 , , PUNCT ajst-19344 153 16 future future ADJ ajst-19344 153 17 research research NOUN ajst-19344 153 18 may may AUX ajst-19344 153 19 need need VERB ajst-19344 153 20 to to PART ajst-19344 153 21 explore explore VERB ajst-19344 153 22 more more ADV ajst-19344 153 23 advanced advanced ADJ ajst-19344 153 24 model model NOUN ajst-19344 153 25 structures structure NOUN ajst-19344 153 26 or or CCONJ ajst-19344 153 27 strategies strategy NOUN ajst-19344 153 28 . . PUNCT ajst-19344 154 1 4 4 X ajst-19344 154 2 . . X ajst-19344 154 3 conclusion conclusion NOUN ajst-19344 154 4 addressing address VERB ajst-19344 154 5 the the DET ajst-19344 154 6 significant significant ADJ ajst-19344 154 7 variability variability NOUN ajst-19344 154 8 in in ADP ajst-19344 154 9 physiological physiological ADJ ajst-19344 154 10 data datum NOUN ajst-19344 154 11 distributions distribution NOUN ajst-19344 154 12 among among ADP ajst-19344 154 13 different different ADJ ajst-19344 154 14 patients patient NOUN ajst-19344 154 15 , , PUNCT ajst-19344 154 16 as as ADV ajst-19344 154 17 well well ADV ajst-19344 154 18 as as ADP ajst-19344 154 19 the the DET ajst-19344 154 20 issue issue NOUN ajst-19344 154 21 of of ADP ajst-19344 154 22 distributional distributional ADJ ajst-19344 154 23 shifts shift NOUN ajst-19344 154 24 in in ADP ajst-19344 154 25 physiological physiological ADJ ajst-19344 154 26 sequences sequence NOUN ajst-19344 154 27 for for ADP ajst-19344 154 28 blood blood NOUN ajst-19344 154 29 pressure pressure NOUN ajst-19344 154 30 prediction prediction NOUN ajst-19344 154 31 tasks task NOUN ajst-19344 154 32 , , PUNCT ajst-19344 154 33 this this DET ajst-19344 154 34 study study NOUN ajst-19344 154 35 developed develop VERB ajst-19344 154 36 a a DET ajst-19344 154 37 distributionadaptive distributionadaptive ADJ ajst-19344 154 38 strategy strategy NOUN ajst-19344 154 39 . . PUNCT ajst-19344 155 1 the the DET ajst-19344 155 2 approach approach NOUN ajst-19344 155 3 begins begin VERB ajst-19344 155 4 with with ADP ajst-19344 155 5 global global ADJ ajst-19344 155 6 data datum NOUN ajst-19344 155 7 standardization standardization NOUN ajst-19344 155 8 to to PART ajst-19344 155 9 minimize minimize VERB ajst-19344 155 10 patient patient NOUN ajst-19344 155 11 - - PUNCT ajst-19344 155 12 to to ADP ajst-19344 155 13 - - PUNCT ajst-19344 155 14 patient patient NOUN ajst-19344 155 15 differences difference NOUN ajst-19344 155 16 , , PUNCT ajst-19344 155 17 followed follow VERB ajst-19344 155 18 by by ADP ajst-19344 155 19 an an DET ajst-19344 155 20 adaptive adaptive ADJ ajst-19344 155 21 learning learning NOUN ajst-19344 155 22 mechanism mechanism NOUN ajst-19344 155 23 that that PRON ajst-19344 155 24 adjusts adjust VERB ajst-19344 155 25 the the DET ajst-19344 155 26 focus focus NOUN ajst-19344 155 27 of of ADP ajst-19344 155 28 the the DET ajst-19344 155 29 attention attention NOUN ajst-19344 155 30 mechanism mechanism NOUN ajst-19344 155 31 based base VERB ajst-19344 155 32 on on ADP ajst-19344 155 33 the the DET ajst-19344 155 34 mean mean NOUN ajst-19344 155 35 and and CCONJ ajst-19344 155 36 variance variance NOUN ajst-19344 155 37 within within ADP ajst-19344 155 38 the the DET ajst-19344 155 39 input input NOUN ajst-19344 155 40 window window NOUN ajst-19344 155 41 , , PUNCT ajst-19344 155 42 allowing allow VERB ajst-19344 155 43 the the DET ajst-19344 155 44 model model NOUN ajst-19344 155 45 to to PART ajst-19344 155 46 concentrate concentrate VERB ajst-19344 155 47 more more ADV ajst-19344 155 48 on on ADP ajst-19344 155 49 essential essential ADJ ajst-19344 155 50 non non ADJ ajst-19344 155 51 - - ADJ ajst-19344 155 52 stationary stationary ADJ ajst-19344 155 53 information information NOUN ajst-19344 155 54 . . PUNCT ajst-19344 156 1 a a DET ajst-19344 156 2 series series NOUN ajst-19344 156 3 of of ADP ajst-19344 156 4 comparative comparative ADJ ajst-19344 156 5 experiments experiment NOUN ajst-19344 156 6 and and CCONJ ajst-19344 156 7 ablation ablation NOUN ajst-19344 156 8 studies study NOUN ajst-19344 156 9 confirmed confirm VERB ajst-19344 156 10 the the DET ajst-19344 156 11 effectiveness effectiveness NOUN ajst-19344 156 12 of of ADP ajst-19344 156 13 this this DET ajst-19344 156 14 strategy strategy NOUN ajst-19344 156 15 in in ADP ajst-19344 156 16 enhancing enhance VERB ajst-19344 156 17 the the DET ajst-19344 156 18 attention attention NOUN ajst-19344 156 19 - - PUNCT ajst-19344 156 20 based base VERB ajst-19344 156 21 model model NOUN ajst-19344 156 22 's 's PART ajst-19344 156 23 ability ability NOUN ajst-19344 156 24 to to PART ajst-19344 156 25 process process VERB ajst-19344 156 26 non non ADJ ajst-19344 156 27 - - ADJ ajst-19344 156 28 stationary stationary ADJ ajst-19344 156 29 physiological physiological ADJ ajst-19344 156 30 data datum NOUN ajst-19344 156 31 , , PUNCT ajst-19344 156 32 and and CCONJ ajst-19344 156 33 demonstrated demonstrate VERB ajst-19344 156 34 the the DET ajst-19344 156 35 importance importance NOUN ajst-19344 156 36 of of ADP ajst-19344 156 37 distribution distribution NOUN ajst-19344 156 38 - - PUNCT ajst-19344 156 39 adaptive adaptive ADJ ajst-19344 156 40 factors factor NOUN ajst-19344 156 41 in in ADP ajst-19344 156 42 improving improve VERB ajst-19344 156 43 blood blood NOUN ajst-19344 156 44 pressure pressure NOUN ajst-19344 156 45 prediction prediction NOUN ajst-19344 156 46 accuracy accuracy NOUN ajst-19344 156 47 . . PUNCT ajst-19344 157 1 these these DET ajst-19344 157 2 results result NOUN ajst-19344 157 3 offer offer VERB ajst-19344 157 4 new new ADJ ajst-19344 157 5 perspectives perspective NOUN ajst-19344 157 6 and and CCONJ ajst-19344 157 7 methodologies methodology NOUN ajst-19344 157 8 for for ADP ajst-19344 157 9 the the DET ajst-19344 157 10 field field NOUN ajst-19344 157 11 of of ADP ajst-19344 157 12 medical medical ADJ ajst-19344 157 13 time time NOUN ajst-19344 157 14 series series NOUN ajst-19344 157 15 , , PUNCT ajst-19344 157 16 holding hold VERB ajst-19344 157 17 significant significant ADJ ajst-19344 157 18 theoretical theoretical ADJ ajst-19344 157 19 and and CCONJ ajst-19344 157 20 practical practical ADJ ajst-19344 157 21 application application NOUN ajst-19344 157 22 value value NOUN ajst-19344 157 23 . . PUNCT ajst-19344 158 1 future future ADJ ajst-19344 158 2 work work NOUN ajst-19344 158 3 will will AUX ajst-19344 158 4 focus focus VERB ajst-19344 158 5 on on ADP ajst-19344 158 6 collecting collect VERB ajst-19344 158 7 more more ADJ ajst-19344 158 8 data datum NOUN ajst-19344 158 9 and and CCONJ ajst-19344 158 10 conducting conduct VERB ajst-19344 158 11 experiments experiment NOUN ajst-19344 158 12 and and CCONJ ajst-19344 158 13 clinical clinical ADJ ajst-19344 158 14 validations validation NOUN ajst-19344 158 15 to to AUX ajst-19344 158 16 more more ADV ajst-19344 158 17 comprehensively comprehensively ADV ajst-19344 158 18 assess assess VERB ajst-19344 158 19 the the DET ajst-19344 158 20 model model NOUN ajst-19344 158 21 's 's PART ajst-19344 158 22 performance performance NOUN ajst-19344 158 23 in in ADP ajst-19344 158 24 clinical clinical ADJ ajst-19344 158 25 practice practice NOUN ajst-19344 158 26 . . PUNCT ajst-19344 159 1 table table NOUN ajst-19344 159 2 3 3 NUM ajst-19344 159 3 ablation ablation NOUN ajst-19344 159 4 experiment experiment NOUN ajst-19344 159 5 results result NOUN ajst-19344 159 6 model model VERB ajst-19344 159 7 metric metric ADJ ajst-19344 159 8 5 5 NUM ajst-19344 159 9 minutes minute NOUN ajst-19344 159 10 10 10 NUM ajst-19344 159 11 minutes minute NOUN ajst-19344 159 12 15 15 NUM ajst-19344 159 13 minutes minute NOUN ajst-19344 159 14 mae mae PROPN ajst-19344 159 15 rmse rmse PROPN ajst-19344 159 16 corr corr PROPN ajst-19344 159 17 mae mae PROPN ajst-19344 159 18 rmse rmse PROPN ajst-19344 159 19 corr corr PROPN ajst-19344 159 20 mae mae PROPN ajst-19344 159 21 rmse rmse PROPN ajst-19344 159 22 corr corr PROPN ajst-19344 159 23 -3.271 -3.271 PUNCT ajst-19344 159 24 6.300 6.300 NUM ajst-19344 159 25 0.886 0.886 NUM ajst-19344 159 26 3.755 3.755 NUM ajst-19344 159 27 6.846 6.846 NUM ajst-19344 159 28 0.860 0.860 NUM ajst-19344 159 29 4.132 4.132 NUM ajst-19344 159 30 7.293 7.293 NUM ajst-19344 159 31 0.836 0.836 NUM ajst-19344 159 32 𝚫 𝚫 NOUN ajst-19344 159 33 3.244 3.244 NUM ajst-19344 159 34 6.015 6.015 NUM ajst-19344 159 35 0.897 0.897 NUM ajst-19344 159 36 3.645 3.645 NUM ajst-19344 159 37 6.484 6.484 NUM ajst-19344 159 38 0.875 0.875 NUM ajst-19344 159 39 3.861 3.861 NUM ajst-19344 159 40 6.775 6.775 NUM ajst-19344 159 41 0.860 0.860 NUM ajst-19344 159 42 𝝉 𝝉 ADP ajst-19344 159 43 3.254 3.254 NUM ajst-19344 159 44 6.028 6.028 NUM ajst-19344 159 45 0.897 0.897 NUM ajst-19344 159 46 3.638 3.638 NUM ajst-19344 159 47 6.489 6.489 NUM ajst-19344 159 48 0.876 0.876 NUM ajst-19344 159 49 3.844 3.844 NUM ajst-19344 159 50 6.758 6.758 NUM ajst-19344 159 51 0.860 0.860 NUM ajst-19344 159 52 𝚫 𝚫 NOUN ajst-19344 159 53 𝝉 𝝉 ADP ajst-19344 159 54 3.221 3.221 NUM ajst-19344 159 55 5.990 5.990 NUM ajst-19344 159 56 0.898 0.898 NUM ajst-19344 159 57 3.636 3.636 NUM ajst-19344 159 58 6.470 6.470 NUM ajst-19344 159 59 0.876 0.876 NUM ajst-19344 159 60 3.846 3.846 NUM ajst-19344 159 61 6.757 6.757 NUM ajst-19344 159 62 0.860 0.860 NUM ajst-19344 159 63 references reference NOUN ajst-19344 159 64 [ [ X ajst-19344 159 65 1 1 NUM ajst-19344 159 66 ] ] PUNCT ajst-19344 159 67 van van PROPN ajst-19344 159 68 der der NOUN ajst-19344 159 69 ven ven PROPN ajst-19344 159 70 w w PROPN ajst-19344 159 71 h h PROPN ajst-19344 159 72 , , PUNCT ajst-19344 159 73 veelo veelo NOUN ajst-19344 160 1 d d PROPN ajst-19344 160 2 p p PROPN ajst-19344 160 3 , , PUNCT ajst-19344 160 4 wijnberge wijnberge NOUN ajst-19344 160 5 m m PROPN ajst-19344 160 6 , , PUNCT ajst-19344 160 7 et et PROPN ajst-19344 160 8 al al PROPN ajst-19344 160 9 . . PROPN ajst-19344 161 1 one one NUM ajst-19344 161 2 of of ADP ajst-19344 161 3 the the DET ajst-19344 161 4 first first ADJ ajst-19344 161 5 validations validation NOUN ajst-19344 161 6 of of ADP ajst-19344 161 7 an an DET ajst-19344 161 8 artificial artificial ADJ ajst-19344 161 9 intelligence intelligence NOUN ajst-19344 161 10 algorithm algorithm NOUN ajst-19344 161 11 for for ADP ajst-19344 161 12 clinical clinical ADJ ajst-19344 161 13 use use NOUN ajst-19344 161 14 : : PUNCT ajst-19344 161 15 the the DET ajst-19344 161 16 impact impact NOUN ajst-19344 161 17 on on ADP ajst-19344 161 18 intraoperative intraoperative ADJ ajst-19344 161 19 hypotension hypotension NOUN ajst-19344 161 20 prediction prediction NOUN ajst-19344 161 21 and and CCONJ ajst-19344 161 22 clinical clinical ADJ ajst-19344 161 23 decision decision NOUN ajst-19344 161 24 - - PUNCT ajst-19344 161 25 making[j making[j NOUN ajst-19344 161 26 ] ] PUNCT ajst-19344 161 27 . . PUNCT ajst-19344 162 1 surgery surgery NOUN ajst-19344 162 2 , , PUNCT ajst-19344 162 3 2021 2021 NUM ajst-19344 162 4 , , PUNCT ajst-19344 162 5 169(6 169(6 NUM ajst-19344 162 6 ): ): PUNCT ajst-19344 162 7 1300 1300 NUM ajst-19344 162 8 - - SYM ajst-19344 162 9 1303 1303 NUM ajst-19344 162 10 . . PUNCT ajst-19344 163 1 [ [ X ajst-19344 163 2 2 2 NUM ajst-19344 163 3 ] ] PUNCT ajst-19344 163 4 parati parati NOUN ajst-19344 163 5 g g PROPN ajst-19344 163 6 , , PUNCT ajst-19344 163 7 ochoa ochoa PROPN ajst-19344 163 8 j j PROPN ajst-19344 163 9 e e PROPN ajst-19344 163 10 , , PUNCT ajst-19344 163 11 lombardi lombardi PROPN ajst-19344 163 12 c c PROPN ajst-19344 163 13 , , PUNCT ajst-19344 163 14 et et PROPN ajst-19344 163 15 al al PROPN ajst-19344 163 16 . . PROPN ajst-19344 163 17 assessment assessment NOUN ajst-19344 163 18 and and CCONJ ajst-19344 163 19 management management NOUN ajst-19344 163 20 of of ADP ajst-19344 163 21 blood blood NOUN ajst-19344 163 22 - - PUNCT ajst-19344 163 23 pressure pressure NOUN ajst-19344 163 24 variability[j variability[j NOUN ajst-19344 163 25 ] ] PUNCT ajst-19344 163 26 . . PUNCT ajst-19344 164 1 nature nature NOUN ajst-19344 164 2 reviews review VERB ajst-19344 164 3 cardiology cardiology NOUN ajst-19344 164 4 , , PUNCT ajst-19344 164 5 2013 2013 NUM ajst-19344 164 6 , , PUNCT ajst-19344 164 7 10(3 10(3 NUM ajst-19344 164 8 ): ): PUNCT ajst-19344 164 9 143 143 NUM ajst-19344 164 10 - - SYM ajst-19344 164 11 155 155 NUM ajst-19344 164 12 . . PUNCT ajst-19344 165 1 [ [ X ajst-19344 165 2 3 3 X ajst-19344 165 3 ] ] PUNCT ajst-19344 165 4 ariyo ariyo NOUN ajst-19344 165 5 a a DET ajst-19344 165 6 a a NOUN ajst-19344 165 7 , , PUNCT ajst-19344 165 8 adewumi adewumi NOUN ajst-19344 165 9 a a DET ajst-19344 165 10 o o NOUN ajst-19344 165 11 , , PUNCT ajst-19344 165 12 ayo ayo PROPN ajst-19344 165 13 c c PROPN ajst-19344 165 14 k. k. PROPN ajst-19344 165 15 stock stock PROPN ajst-19344 165 16 price price NOUN ajst-19344 165 17 prediction prediction NOUN ajst-19344 165 18 using use VERB ajst-19344 165 19 the the DET ajst-19344 165 20 arima arima PROPN ajst-19344 165 21 model[c]//2014 model[c]//2014 INTJ ajst-19344 165 22 uksim uksim PROPN ajst-19344 165 23 - - PUNCT ajst-19344 165 24 amss amss NOUN ajst-19344 165 25 16th 16th ADJ ajst-19344 165 26 international international ADJ ajst-19344 165 27 conference conference NOUN ajst-19344 165 28 on on ADP ajst-19344 165 29 computer computer NOUN ajst-19344 165 30 modelling modelling NOUN ajst-19344 165 31 and and CCONJ ajst-19344 165 32 simulation simulation NOUN ajst-19344 165 33 . . PUNCT ajst-19344 166 1 ieee ieee PROPN ajst-19344 166 2 , , PUNCT ajst-19344 166 3 2014 2014 NUM ajst-19344 166 4 : : PUNCT ajst-19344 166 5 106 106 NUM ajst-19344 166 6 - - SYM ajst-19344 166 7 112 112 NUM ajst-19344 166 8 . . PUNCT ajst-19344 167 1 [ [ X ajst-19344 167 2 4 4 NUM ajst-19344 167 3 ] ] PUNCT ajst-19344 167 4 eesa eesa NOUN ajst-19344 167 5 a a DET ajst-19344 167 6 s s PROPN ajst-19344 167 7 , , PUNCT ajst-19344 167 8 arabo arabo PROPN ajst-19344 167 9 w w PROPN ajst-19344 167 10 k. k. PROPN ajst-19344 167 11 a a DET ajst-19344 167 12 normalization normalization NOUN ajst-19344 167 13 methods method NOUN ajst-19344 167 14 for for ADP ajst-19344 167 15 backpropagation backpropagation NOUN ajst-19344 167 16 : : PUNCT ajst-19344 167 17 a a DET ajst-19344 167 18 comparative comparative ADJ ajst-19344 167 19 study[j study[j NOUN ajst-19344 167 20 ] ] PUNCT ajst-19344 167 21 . . PUNCT ajst-19344 168 1 science science PROPN ajst-19344 168 2 journal journal PROPN ajst-19344 168 3 of of ADP ajst-19344 168 4 university university PROPN ajst-19344 168 5 of of ADP ajst-19344 168 6 zakho zakho PROPN ajst-19344 168 7 , , PUNCT ajst-19344 168 8 2017 2017 NUM ajst-19344 168 9 , , PUNCT ajst-19344 168 10 5(4 5(4 NUM ajst-19344 168 11 ): ): PUNCT ajst-19344 168 12 319 319 NUM ajst-19344 168 13 - - SYM ajst-19344 168 14 323 323 NUM ajst-19344 168 15 . . PUNCT ajst-19344 169 1 [ [ X ajst-19344 169 2 5 5 NUM ajst-19344 169 3 ] ] PUNCT ajst-19344 169 4 patro patro NOUN ajst-19344 169 5 s s PROPN ajst-19344 169 6 , , PUNCT ajst-19344 169 7 sahu sahu PROPN ajst-19344 169 8 k. k. PROPN ajst-19344 169 9 normalization normalization PROPN ajst-19344 169 10 : : PUNCT ajst-19344 169 11 a a DET ajst-19344 169 12 preprocessing preprocesse VERB ajst-19344 169 13 stage[j stage[j NOUN ajst-19344 169 14 ] ] PUNCT ajst-19344 169 15 . . PUNCT ajst-19344 170 1 arxiv arxiv PROPN ajst-19344 170 2 preprint preprint VERB ajst-19344 170 3 arxiv:1503.06462 arxiv:1503.06462 PROPN ajst-19344 170 4 , , PUNCT ajst-19344 170 5 2015 2015 NUM ajst-19344 170 6 . . PUNCT ajst-19344 171 1 [ [ X ajst-19344 171 2 6 6 NUM ajst-19344 171 3 ] ] PUNCT ajst-19344 171 4 ogasawara ogasawara NOUN ajst-19344 171 5 e e NOUN ajst-19344 171 6 , , PUNCT ajst-19344 171 7 martinez martinez PROPN ajst-19344 171 8 l l PROPN ajst-19344 171 9 c c X ajst-19344 171 10 , , PUNCT ajst-19344 171 11 de de PROPN ajst-19344 171 12 oliveira oliveira PROPN ajst-19344 171 13 d d PROPN ajst-19344 171 14 , , PUNCT ajst-19344 171 15 et et PROPN ajst-19344 171 16 al al PROPN ajst-19344 171 17 . . PUNCT ajst-19344 172 1 adaptive adaptive ADJ ajst-19344 172 2 normalization normalization NOUN ajst-19344 172 3 : : PUNCT ajst-19344 172 4 a a DET ajst-19344 172 5 novel novel ADJ ajst-19344 172 6 data data NOUN ajst-19344 172 7 normalization normalization NOUN ajst-19344 172 8 approach approach NOUN ajst-19344 172 9 for for ADP ajst-19344 172 10 nonstationary nonstationary ADJ ajst-19344 172 11 time time NOUN ajst-19344 172 12 series[c]//the series[c]//the ADJ ajst-19344 172 13 2010 2010 NUM ajst-19344 172 14 international international ADJ ajst-19344 172 15 joint joint ADJ ajst-19344 172 16 conference conference NOUN ajst-19344 172 17 on on ADP ajst-19344 172 18 neural neural ADJ ajst-19344 172 19 networks network NOUN ajst-19344 172 20 ( ( PUNCT ajst-19344 172 21 ijcnn ijcnn PROPN ajst-19344 172 22 ) ) PUNCT ajst-19344 172 23 . . PUNCT ajst-19344 173 1 ieee ieee PROPN ajst-19344 173 2 , , PUNCT ajst-19344 173 3 2010 2010 NUM ajst-19344 173 4 : : PUNCT ajst-19344 173 5 1 1 NUM ajst-19344 173 6 - - SYM ajst-19344 173 7 8 8 NUM ajst-19344 174 1 [ [ X ajst-19344 174 2 7 7 NUM ajst-19344 174 3 ] ] X ajst-19344 174 4 passalis passalis PROPN ajst-19344 174 5 n n CCONJ ajst-19344 174 6 , , PUNCT ajst-19344 174 7 tefas tefas VERB ajst-19344 174 8 a a DET ajst-19344 174 9 , , PUNCT ajst-19344 174 10 kanniainen kanniainen PROPN ajst-19344 174 11 j j PROPN ajst-19344 174 12 , , PUNCT ajst-19344 174 13 et et PROPN ajst-19344 174 14 al al PROPN ajst-19344 174 15 . . PUNCT ajst-19344 175 1 deep deep ADJ ajst-19344 175 2 adaptive adaptive ADJ ajst-19344 175 3 input input NOUN ajst-19344 175 4 normalization normalization NOUN ajst-19344 175 5 for for ADP ajst-19344 175 6 time time NOUN ajst-19344 175 7 series series PROPN ajst-19344 175 8 forecasting[j forecasting[j PROPN ajst-19344 175 9 ] ] PUNCT ajst-19344 175 10 . . PUNCT ajst-19344 176 1 ieee ieee NOUN ajst-19344 176 2 transactions transaction NOUN ajst-19344 176 3 on on ADP ajst-19344 176 4 neural neural ADJ ajst-19344 176 5 networks network NOUN ajst-19344 176 6 and and CCONJ ajst-19344 176 7 learning learning NOUN ajst-19344 176 8 systems system NOUN ajst-19344 176 9 , , PUNCT ajst-19344 176 10 2019 2019 NUM ajst-19344 176 11 , , PUNCT ajst-19344 176 12 31(9 31(9 NUM ajst-19344 176 13 ): ): PUNCT ajst-19344 176 14 37603765 37603765 NUM ajst-19344 176 15 . . PUNCT ajst-19344 177 1 [ [ X ajst-19344 177 2 8 8 NUM ajst-19344 177 3 ] ] X ajst-19344 177 4 du du PROPN ajst-19344 177 5 y y PROPN ajst-19344 177 6 , , PUNCT ajst-19344 177 7 wang wang PROPN ajst-19344 177 8 j j PROPN ajst-19344 177 9 , , PUNCT ajst-19344 177 10 feng feng PROPN ajst-19344 177 11 w w PROPN ajst-19344 177 12 , , PUNCT ajst-19344 177 13 et et PROPN ajst-19344 177 14 al al PROPN ajst-19344 177 15 . . PROPN ajst-19344 177 16 adarnn adarnn PROPN ajst-19344 177 17 : : PUNCT ajst-19344 177 18 adaptive adaptive ADJ ajst-19344 177 19 learning learning NOUN ajst-19344 177 20 and and CCONJ ajst-19344 177 21 forecasting forecasting NOUN ajst-19344 177 22 of of ADP ajst-19344 177 23 time time NOUN ajst-19344 177 24 series[c]//proceedings series[c]//proceeding NOUN ajst-19344 177 25 of of ADP ajst-19344 177 26 the the DET ajst-19344 177 27 30th 30th ADJ ajst-19344 177 28 acm acm PROPN ajst-19344 177 29 international international ADJ ajst-19344 177 30 conference conference NOUN ajst-19344 177 31 on on ADP ajst-19344 177 32 information information NOUN ajst-19344 177 33 & & CCONJ ajst-19344 177 34 knowledge knowledge PROPN ajst-19344 177 35 management management PROPN ajst-19344 177 36 . . PUNCT ajst-19344 178 1 2021 2021 NUM ajst-19344 178 2 : : PUNCT ajst-19344 178 3 402 402 NUM ajst-19344 178 4 - - SYM ajst-19344 178 5 411 411 NUM ajst-19344 178 6 . . PUNCT ajst-19344 179 1 [ [ X ajst-19344 179 2 9 9 NUM ajst-19344 179 3 ] ] X ajst-19344 179 4 kim kim PROPN ajst-19344 179 5 t t PROPN ajst-19344 179 6 , , PUNCT ajst-19344 179 7 kim kim PROPN ajst-19344 179 8 j j PROPN ajst-19344 179 9 , , PUNCT ajst-19344 179 10 tae tae PROPN ajst-19344 179 11 y y PROPN ajst-19344 179 12 , , PUNCT ajst-19344 179 13 et et PROPN ajst-19344 179 14 al al PROPN ajst-19344 179 15 . . PROPN ajst-19344 179 16 reversible reversible ADJ ajst-19344 179 17 instance instance NOUN ajst-19344 179 18 normalization normalization NOUN ajst-19344 179 19 for for ADP ajst-19344 179 20 accurate accurate ADJ ajst-19344 179 21 time time NOUN ajst-19344 179 22 - - PUNCT ajst-19344 179 23 series series NOUN ajst-19344 179 24 forecasting forecasting NOUN ajst-19344 179 25 against against ADP ajst-19344 179 26 distribution distribution NOUN ajst-19344 179 27 shift shift NOUN ajst-19344 179 28 [ [ X ajst-19344 179 29 c]//international c]//international ADJ ajst-19344 179 30 conference conference NOUN ajst-19344 179 31 on on ADP ajst-19344 179 32 learning learn VERB ajst-19344 179 33 representations representation NOUN ajst-19344 179 34 . . PUNCT ajst-19344 179 35 2021 2021 NUM ajst-19344 179 36 . . PUNCT ajst-19344 180 1 462 462 NUM ajst-19344 181 1 [ [ X ajst-19344 181 2 10 10 NUM ajst-19344 181 3 ] ] PUNCT ajst-19344 181 4 su su NOUN ajst-19344 181 5 p p X ajst-19344 181 6 , , PUNCT ajst-19344 181 7 ding de VERB ajst-19344 181 8 x x SYM ajst-19344 181 9 r r NOUN ajst-19344 181 10 , , PUNCT ajst-19344 181 11 zhang zhang PROPN ajst-19344 181 12 y y PROPN ajst-19344 181 13 t t PROPN ajst-19344 181 14 , , PUNCT ajst-19344 181 15 et et PROPN ajst-19344 181 16 al al PROPN ajst-19344 181 17 . . PUNCT ajst-19344 181 18 long long ADJ ajst-19344 181 19 - - PUNCT ajst-19344 181 20 term term NOUN ajst-19344 181 21 blood blood NOUN ajst-19344 181 22 pressure pressure NOUN ajst-19344 181 23 prediction prediction NOUN ajst-19344 181 24 with with ADP ajst-19344 181 25 deep deep ADJ ajst-19344 181 26 recurrent recurrent ADJ ajst-19344 181 27 neural neural ADJ ajst-19344 181 28 networks[c]//2018 networks[c]//2018 NUM ajst-19344 181 29 ieee ieee PROPN ajst-19344 181 30 embs emb VERB ajst-19344 181 31 international international ADJ ajst-19344 181 32 conference conference NOUN ajst-19344 181 33 on on ADP ajst-19344 181 34 biomedical biomedical PROPN ajst-19344 181 35 & & CCONJ ajst-19344 181 36 health health NOUN ajst-19344 181 37 informatics informatic NOUN ajst-19344 181 38 ( ( PUNCT ajst-19344 181 39 bhi bhi PROPN ajst-19344 181 40 ) ) PUNCT ajst-19344 181 41 . . PUNCT ajst-19344 182 1 ieee ieee PROPN ajst-19344 182 2 , , PUNCT ajst-19344 182 3 2018 2018 NUM ajst-19344 182 4 : : PUNCT ajst-19344 182 5 323 323 NUM ajst-19344 182 6 - - SYM ajst-19344 182 7 328 328 NUM ajst-19344 182 8 . . PUNCT ajst-19344 183 1 [ [ X ajst-19344 183 2 11 11 NUM ajst-19344 183 3 ] ] X ajst-19344 183 4 jeong jeong PROPN ajst-19344 183 5 y y PROPN ajst-19344 183 6 s s PROPN ajst-19344 183 7 , , PUNCT ajst-19344 183 8 kang kang PROPN ajst-19344 183 9 a a DET ajst-19344 183 10 r r PROPN ajst-19344 183 11 , , PUNCT ajst-19344 183 12 jung jung PROPN ajst-19344 183 13 w w PROPN ajst-19344 183 14 , , PUNCT ajst-19344 183 15 et et PROPN ajst-19344 183 16 al al PROPN ajst-19344 183 17 . . PROPN ajst-19344 183 18 prediction prediction NOUN ajst-19344 183 19 of of ADP ajst-19344 183 20 blood blood NOUN ajst-19344 183 21 pressure pressure NOUN ajst-19344 183 22 after after ADP ajst-19344 183 23 induction induction NOUN ajst-19344 183 24 of of ADP ajst-19344 183 25 anesthesia anesthesia NOUN ajst-19344 183 26 using use VERB ajst-19344 183 27 deep deep ADJ ajst-19344 183 28 learning learning NOUN ajst-19344 183 29 : : PUNCT ajst-19344 183 30 a a DET ajst-19344 183 31 feasibility feasibility NOUN ajst-19344 183 32 study[j study[j NOUN ajst-19344 183 33 ] ] PUNCT ajst-19344 183 34 . . PUNCT ajst-19344 184 1 applied apply VERB ajst-19344 184 2 sciences science NOUN ajst-19344 184 3 , , PUNCT ajst-19344 184 4 2019 2019 NUM ajst-19344 184 5 , , PUNCT ajst-19344 184 6 9(23 9(23 NOUN ajst-19344 184 7 ): ): PUNCT ajst-19344 184 8 5135 5135 NUM ajst-19344 184 9 . . PUNCT ajst-19344 185 1 [ [ X ajst-19344 185 2 12 12 NUM ajst-19344 185 3 ] ] X ajst-19344 185 4 liu liu PROPN ajst-19344 185 5 y y PROPN ajst-19344 185 6 , , PUNCT ajst-19344 185 7 wu wu PROPN ajst-19344 185 8 h h PROPN ajst-19344 185 9 , , PUNCT ajst-19344 185 10 wang wang PROPN ajst-19344 185 11 j j PROPN ajst-19344 185 12 , , PUNCT ajst-19344 185 13 et et PROPN ajst-19344 185 14 al al PROPN ajst-19344 185 15 . . PUNCT ajst-19344 186 1 non non ADJ ajst-19344 186 2 - - ADJ ajst-19344 186 3 stationary stationary ADJ ajst-19344 186 4 transformers transformer NOUN ajst-19344 186 5 : : PUNCT ajst-19344 186 6 exploring explore VERB ajst-19344 186 7 the the DET ajst-19344 186 8 stationarity stationarity NOUN ajst-19344 186 9 in in ADP ajst-19344 186 10 time time NOUN ajst-19344 186 11 series series PROPN ajst-19344 186 12 forecasting[j forecasting[j PROPN ajst-19344 186 13 ] ] PUNCT ajst-19344 186 14 . . PUNCT ajst-19344 187 1 advances advance NOUN ajst-19344 187 2 in in ADP ajst-19344 187 3 neural neural ADJ ajst-19344 187 4 information information NOUN ajst-19344 187 5 processing processing NOUN ajst-19344 187 6 systems system NOUN ajst-19344 187 7 , , PUNCT ajst-19344 187 8 2022 2022 NUM ajst-19344 187 9 , , PUNCT ajst-19344 187 10 35 35 NUM ajst-19344 187 11 : : SYM ajst-19344 187 12 9881 9881 NUM ajst-19344 187 13 - - SYM ajst-19344 187 14 9893 9893 NUM ajst-19344 187 15 . . PUNCT ajst-19344 188 1 [ [ X ajst-19344 188 2 13 13 NUM ajst-19344 188 3 ] ] X ajst-19344 188 4 zhou zhou PROPN ajst-19344 188 5 h h PROPN ajst-19344 188 6 , , PUNCT ajst-19344 188 7 zhang zhang PROPN ajst-19344 188 8 s s PROPN ajst-19344 188 9 , , PUNCT ajst-19344 188 10 peng peng PROPN ajst-19344 188 11 j j PROPN ajst-19344 188 12 , , PUNCT ajst-19344 188 13 et et PROPN ajst-19344 188 14 al al PROPN ajst-19344 188 15 . . PROPN ajst-19344 188 16 informer informer NOUN ajst-19344 188 17 : : PUNCT ajst-19344 188 18 beyond beyond ADP ajst-19344 188 19 efficient efficient ADJ ajst-19344 188 20 transformer transformer NOUN ajst-19344 188 21 for for ADP ajst-19344 188 22 long long ADJ ajst-19344 188 23 sequence sequence NOUN ajst-19344 188 24 time time NOUN ajst-19344 188 25 - - PUNCT ajst-19344 188 26 series series NOUN ajst-19344 188 27 forecasting forecasting NOUN ajst-19344 188 28 [ [ X ajst-19344 188 29 c]//proceedings c]//proceeding NOUN ajst-19344 188 30 of of ADP ajst-19344 188 31 the the DET ajst-19344 188 32 aaai aaai PROPN ajst-19344 188 33 conference conference NOUN ajst-19344 188 34 on on ADP ajst-19344 188 35 artificial artificial ADJ ajst-19344 188 36 intelligence intelligence NOUN ajst-19344 188 37 . . PUNCT ajst-19344 189 1 2021 2021 NUM ajst-19344 189 2 , , PUNCT ajst-19344 189 3 35(12 35(12 NUM ajst-19344 189 4 ): ): PUNCT ajst-19344 189 5 11106 11106 NUM ajst-19344 189 6 - - SYM ajst-19344 189 7 11115 11115 NUM ajst-19344 189 8 . . PUNCT ajst-19344 190 1 [ [ X ajst-19344 190 2 14 14 NUM ajst-19344 190 3 ] ] X ajst-19344 190 4 li li PROPN ajst-19344 190 5 s s PROPN ajst-19344 190 6 , , PUNCT ajst-19344 190 7 jin jin NOUN ajst-19344 190 8 x x PROPN ajst-19344 190 9 , , PUNCT ajst-19344 190 10 xuan xuan PROPN ajst-19344 190 11 y y PROPN ajst-19344 190 12 , , PUNCT ajst-19344 190 13 et et PROPN ajst-19344 190 14 al al PROPN ajst-19344 190 15 . . PUNCT ajst-19344 191 1 enhancing enhance VERB ajst-19344 191 2 the the DET ajst-19344 191 3 locality locality NOUN ajst-19344 191 4 and and CCONJ ajst-19344 191 5 breaking break VERB ajst-19344 191 6 the the DET ajst-19344 191 7 memory memory NOUN ajst-19344 191 8 bottleneck bottleneck NOUN ajst-19344 191 9 of of ADP ajst-19344 191 10 transformer transformer NOUN ajst-19344 191 11 on on ADP ajst-19344 191 12 time time NOUN ajst-19344 191 13 series series PROPN ajst-19344 191 14 forecasting[j forecasting[j PROPN ajst-19344 191 15 ] ] PUNCT ajst-19344 191 16 . . PUNCT ajst-19344 192 1 advances advance NOUN ajst-19344 192 2 in in ADP ajst-19344 192 3 neural neural ADJ ajst-19344 192 4 information information NOUN ajst-19344 192 5 processing processing NOUN ajst-19344 192 6 systems system NOUN ajst-19344 192 7 , , PUNCT ajst-19344 192 8 2019 2019 NUM ajst-19344 192 9 , , PUNCT ajst-19344 192 10 32 32 NUM ajst-19344 192 11 . . PUNCT ajst-19344 193 1 [ [ X ajst-19344 193 2 15 15 NUM ajst-19344 193 3 ] ] X ajst-19344 193 4 kheng kheng PROPN ajst-19344 193 5 c c PROPN ajst-19344 193 6 p p PROPN ajst-19344 193 7 , , PUNCT ajst-19344 193 8 rahman rahman PROPN ajst-19344 193 9 n n PROPN ajst-19344 193 10 h. h. NOUN ajst-19344 193 11 the the DET ajst-19344 193 12 use use NOUN ajst-19344 193 13 of of ADP ajst-19344 193 14 end end NOUN ajst-19344 193 15 - - PUNCT ajst-19344 193 16 tidal tidal ADJ ajst-19344 193 17 carbon carbon NOUN ajst-19344 193 18 dioxide dioxide NOUN ajst-19344 193 19 monitoring monitoring NOUN ajst-19344 193 20 in in ADP ajst-19344 193 21 patients patient NOUN ajst-19344 193 22 with with ADP ajst-19344 193 23 hypotension hypotension NOUN ajst-19344 193 24 in in ADP ajst-19344 193 25 the the DET ajst-19344 193 26 emergency emergency NOUN ajst-19344 193 27 department[j department[j NOUN ajst-19344 193 28 ] ] PUNCT ajst-19344 193 29 . . PUNCT ajst-19344 194 1 international international ADJ ajst-19344 194 2 journal journal PROPN ajst-19344 194 3 of of ADP ajst-19344 194 4 emergency emergency NOUN ajst-19344 194 5 medicine medicine NOUN ajst-19344 194 6 , , PUNCT ajst-19344 194 7 2012 2012 NUM ajst-19344 194 8 , , PUNCT ajst-19344 194 9 5(1 5(1 NUM ajst-19344 194 10 ): ): PUNCT ajst-19344 194 11 1 1 NUM ajst-19344 194 12 - - SYM ajst-19344 194 13 7 7 NUM ajst-19344 194 14 . . PUNCT ajst-19344 195 1 [ [ X ajst-19344 195 2 16 16 NUM ajst-19344 195 3 ] ] PUNCT ajst-19344 195 4 vaswani vaswani NOUN ajst-19344 195 5 a a PRON ajst-19344 195 6 , , PUNCT ajst-19344 195 7 shazeer shazeer NOUN ajst-19344 195 8 n n SYM ajst-19344 195 9 , , PUNCT ajst-19344 195 10 parmar parmar PROPN ajst-19344 195 11 n n CCONJ ajst-19344 195 12 , , PUNCT ajst-19344 195 13 et et PROPN ajst-19344 195 14 al al PROPN ajst-19344 195 15 . . PUNCT ajst-19344 195 16 attention attention NOUN ajst-19344 195 17 is be AUX ajst-19344 195 18 all all PRON ajst-19344 195 19 you you PRON ajst-19344 195 20 need[j need[j VERB ajst-19344 195 21 ] ] PUNCT ajst-19344 195 22 . . PUNCT ajst-19344 196 1 advances advance NOUN ajst-19344 196 2 in in ADP ajst-19344 196 3 neural neural ADJ ajst-19344 196 4 information information NOUN ajst-19344 196 5 processing processing NOUN ajst-19344 196 6 systems system NOUN ajst-19344 196 7 , , PUNCT ajst-19344 196 8 2017 2017 NUM ajst-19344 196 9 , , PUNCT ajst-19344 196 10 30 30 NUM ajst-19344 196 11 . . PUNCT ajst-19344 197 1 [ [ X ajst-19344 197 2 17 17 NUM ajst-19344 197 3 ] ] X ajst-19344 197 4 clevert clevert PROPN ajst-19344 197 5 d d PROPN ajst-19344 197 6 a a PROPN ajst-19344 197 7 , , PUNCT ajst-19344 197 8 unterthiner unterthiner PROPN ajst-19344 197 9 t t PROPN ajst-19344 197 10 , , PUNCT ajst-19344 197 11 hochreiter hochreiter PROPN ajst-19344 197 12 s. s. PROPN ajst-19344 197 13 fast fast VERB ajst-19344 197 14 and and CCONJ ajst-19344 197 15 accurate accurate ADJ ajst-19344 197 16 deep deep ADJ ajst-19344 197 17 network network NOUN ajst-19344 197 18 learning learn VERB ajst-19344 197 19 by by ADP ajst-19344 197 20 exponential exponential ADJ ajst-19344 197 21 linear linear PROPN ajst-19344 197 22 units unit NOUN ajst-19344 197 23 ( ( PUNCT ajst-19344 197 24 elus)[j elus)[j PROPN ajst-19344 197 25 ] ] PUNCT ajst-19344 197 26 . . PUNCT ajst-19344 198 1 arxiv arxiv PROPN ajst-19344 198 2 preprint preprint PROPN ajst-19344 198 3 arxiv:1511.07289 arxiv:1511.07289 PROPN ajst-19344 198 4 , , PUNCT ajst-19344 198 5 2015 2015 NUM ajst-19344 198 6 . . PUNCT ajst-19344 199 1 [ [ X ajst-19344 199 2 18 18 NUM ajst-19344 199 3 ] ] PUNCT ajst-19344 199 4 bhanja bhanja NOUN ajst-19344 199 5 s s PROPN ajst-19344 199 6 , , PUNCT ajst-19344 199 7 das das PROPN ajst-19344 199 8 a. a. NOUN ajst-19344 199 9 impact impact NOUN ajst-19344 199 10 of of ADP ajst-19344 199 11 data datum NOUN ajst-19344 199 12 normalization normalization NOUN ajst-19344 199 13 on on ADP ajst-19344 199 14 deep deep ADJ ajst-19344 199 15 neural neural ADJ ajst-19344 199 16 network network NOUN ajst-19344 199 17 for for ADP ajst-19344 199 18 time time NOUN ajst-19344 199 19 series series PROPN ajst-19344 199 20 forecasting[j forecasting[j PROPN ajst-19344 199 21 ] ] PUNCT ajst-19344 199 22 . . PUNCT ajst-19344 200 1 arxiv arxiv PROPN ajst-19344 200 2 preprint preprint PROPN ajst-19344 200 3 arxiv:1812.05519 arxiv:1812.05519 NOUN ajst-19344 200 4 , , PUNCT ajst-19344 200 5 2018 2018 NUM ajst-19344 200 6 . . PUNCT ajst-19344 201 1 [ [ X ajst-19344 201 2 19 19 NUM ajst-19344 201 3 ] ] X ajst-19344 201 4 ing ing NOUN ajst-19344 201 5 c c PROPN ajst-19344 201 6 k. k. NOUN ajst-19344 201 7 accumulated accumulate VERB ajst-19344 201 8 prediction prediction NOUN ajst-19344 201 9 errors error NOUN ajst-19344 201 10 , , PUNCT ajst-19344 201 11 information information NOUN ajst-19344 201 12 criteria criterion NOUN ajst-19344 201 13 and and CCONJ ajst-19344 201 14 optimal optimal ADJ ajst-19344 201 15 forecasting forecasting NOUN ajst-19344 201 16 for for ADP ajst-19344 201 17 autoregressive autoregressive ADJ ajst-19344 201 18 time time NOUN ajst-19344 201 19 series[j series[j PROPN ajst-19344 201 20 ] ] PUNCT ajst-19344 201 21 . . PUNCT ajst-19344 201 22 2007 2007 NUM ajst-19344 201 23 . . PUNCT