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

• 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: Article
• Language: English
• Published: 2019
• Subjects: Engineering::Computer science and engineering; Electrocardiograph; Myocardial Infarction
• Online Access: https://hdl.handle.net/10356/89881; http://hdl.handle.net/10220/49342
• Institution: Nanyang Technological University

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...