Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG

Artificial Intelligence-Enabled ECG Algorithm Based on Improved Residual Network for Wearable ECG

Heart disease is the leading cause of death for men and women globally. The residual network (ResNet) evolution of electrocardiogram (ECG) technology has contributed to our understanding of cardiac physiology. We propose an artificial intelligence-enabled ECG algorithm based on an improved ResNet fo...

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Bibliographic Details
Main Authors: Hongqiang Li, Zhixuan An, Shasha Zuo, Wei Zhu, Zhen Zhang, Shanshan Zhang, Cheng Zhang, Wenchao Song, Quanhua Mao, Yuxin Mu, Enbang Li, Juan Daniel Prades García
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
biomedical monitoring
cloud computing
ECG science popularization
fabric electrodes
residual network
Online Access:https://www.mdpi.com/1424-8220/21/18/6043

Internet

https://www.mdpi.com/1424-8220/21/18/6043

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