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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Detalles Bibliográficos
Autores principales: Li, Hongqiang, An, Zhixuan, Zuo, Shasha, Zhu, Wei, Zhang, Zhen, Zhang, Shanshan, Zhang, Cheng, Song, Wenchao, Mao, Quanhua, Mu, Yuxin, Li, Enbang, García, Juan Daniel Prades
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472929/
https://www.ncbi.nlm.nih.gov/pubmed/34577248
http://dx.doi.org/10.3390/s21186043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472929/
https://www.ncbi.nlm.nih.gov/pubmed/34577248
http://dx.doi.org/10.3390/s21186043

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