<i>k</i>-Labelsets Method for Multi-Label ECG Signal Classification Based on SE-ResNet

<i>k</i>-Labelsets Method for Multi-Label ECG Signal Classification Based on SE-ResNet

Cardiovascular diseases are the leading cause of death globally. The ECG is the most commonly used tool for diagnosing cardiovascular diseases, and, recently, there are a number of attempts to use deep learning to analyze ECG. In this study, we propose a method for performing multi-label classificat...

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Bibliographic Details
Main Authors:	Jihye Yoo, Yeongbong Jin, Bonggyun Ko, Min-Soo Kim
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Series:	Applied Sciences
Subjects:	computer aided diagnosis ECG classification multi-label classification squeeze and excitation network
Online Access:	https://www.mdpi.com/2076-3417/11/16/7758

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