id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
american_scientific_journal-5509	Li, Hongqiang ; Wei, Xiaoqing ; Zuo, Shasha ; Dou, Qianzhi ; Ding, Mingjun ; Cao, Lu ; Gong, Zheng ; Wang, Runjie ; Chen, Xuyi ; Wang, Binhua ; Prades, Joan Daniel ; Wu, Feifan 	Arrhythmia Classification Algorithm Based on Multi-Feature and Multi-type Optimized SVM	2020	15	.pdf	application/pdf	6383	306	52	Preprocessing Improve wavelet transform and improve semi-soft threshold Feature extraction Frequency domain statistical features and time domain features GS optimization Penalty factor C and kernel function parameter g GA optimization Penalty factor C and kernel function parameter g PSO optimization Penalty factor C and kernel function parameter g Classification The features are fed into the optimal classifier N SBR VT PAC PVC AF Classification The features are fed into the optimal classifier Classification The features are fed into the optimal classifier ECG signals Figure 1: Block diagram of the proposed method for ECG signal classification. [18] H. Q. Li, H. Liang, C. Y. Miao, L. Cao, X. L. Feng, C. X. Tang, et al. ―Novel ECG signal classification based on KICA nonlinear feature extraction,‖ Circuits Systems and Signal Processing, vol. 35, pp.	cache/american_scientific_journal-5509.pdf	txt/american_scientific_journal-5509.txt