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An Early Warning of Atrial Fibrillation Based on Short-Time ECG Signals
This study introduces a method to classify single-lead ECG signals by extracting features through traditional methods and deep neural network methods. At first step, the statistical type features of the ECG signals are exacted by traditional methods, including time domain features, frequency domain...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789462/ https://www.ncbi.nlm.nih.gov/pubmed/35087647 http://dx.doi.org/10.1155/2022/2205460 |