Identification of 27 abnormalities from multi-lead ECG signals: An ensembled SE_ResNet framework with Sign Loss function

• Main Authors: Zhu, Zhaowei, Lan, Xiang, Zhao, Tingting, Guo, Yangming, Kojodjojo, Pipin, Xu, Zhuoyang, Liu, Zhuo, Liu, Siqi, Wang, Han, Sun, Xingzhi, Feng, Mengling
• Other Authors: SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
• Format: Article
• Published: IOP Publishing Ltd 2022
• Subjects: Deep neural network; Ecg abnormalities; Ecg signal; Ensemble modeling; Multi-label classification
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/232924
• Institution: National University of Singapore

10.1088/1361-6579/ac08e6