KecNet: A Light Neural Network for Arrhythmia Classification Based on Knowledge Reinforcement

Acquiring electrocardiographic (ECG) signals and performing arrhythmia classification in mobile device scenarios have the advantages of short response time, almost no network bandwidth consumption, and human resource savings. In recent years, deep neural networks have become a popular method to effi...

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Detalles Bibliográficos
Autores principales: Lu, Peng, Gao, Yang, Xi, Hao, Zhang, Yabin, Gao, Chao, Zhou, Bing, Zhang, Hongpo, Chen, Liwei, Mao, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096590/
https://www.ncbi.nlm.nih.gov/pubmed/33995984
http://dx.doi.org/10.1155/2021/6684954

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096590/
https://www.ncbi.nlm.nih.gov/pubmed/33995984
http://dx.doi.org/10.1155/2021/6684954

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