id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-13848	Huang, Songling; Wen, Zhenji; Li, Hanling	Research on Arrhythmia Classification and Risk Degree Prediction based on Deep Neural Network and Convolutional Neural Network	2023	3	.pdf	application/pdf	1866	106	52	China Abstract: In this study, a method of arrhythmia classification and risk prediction based on deep neural network and convolutional neural network (CNN) is proposed for ECG data. Our goal is to learn a function that maps the input ECG data to the output label Y, as shown in Figure 2.	cache/fcis-13848.pdf	txt/fcis-13848.txt