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ECG classification using 1-D convolutional deep residual neural network
An electrocardiograph (ECG) is widely used in diagnosis and prediction of cardiovascular diseases (CVDs). The traditional ECG classification methods have complex signal processing phases that leads to expensive designs. This paper provides a deep learning (DL) based system that employs the convoluti...
Autores principales: | Khan, Fahad, Yu, Xiaojun, Yuan, Zhaohui, Rehman, Atiq ur |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128986/ https://www.ncbi.nlm.nih.gov/pubmed/37098024 http://dx.doi.org/10.1371/journal.pone.0284791 |
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