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Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model
Electrocardiograms (ECGs) are widely used to clinically detect cardiac arrhythmias (CAs). They are also being used to develop computer-assisted methods for heart disease diagnosis. We have developed a convolution neural network model to detect and classify CAs, using a large 12-lead ECG dataset (6,8...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031313/ https://www.ncbi.nlm.nih.gov/pubmed/32062420 http://dx.doi.org/10.1016/j.isci.2020.100886 |