Automated detection and localization of myocardial infarction with staked sparse autoencoder and TreeBagger

Novel techniques in deep learning networks are proposed for the staked sparse autoencoder (SAE) and the bagged decision tree (TreeBagger), achieving significant improvement in detection and localization of myocardial infarction (MI) from single-lead electrocardiograph (ECG) signals. With our layer-w...

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Bibliographic Details
Main Authors: Zhang, Jieshuo, Lin, Feng, Xiong, Peng, Du, Haiman, Zhang, Hong, Liu, Ming, Hou, Zengguang, Liu, Xiuling
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/89881
http://hdl.handle.net/10220/49342