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...
Main Authors: | , , , , , , , |
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Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/89881 http://hdl.handle.net/10220/49342 |