ECG-based machine-learning algorithms for heartbeat classification
Abstract Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and consist of several waveforms (P, QRS, and T). The duration and shape of each waveform and the distances between different peaks are used to diagnose heart diseases. In this work, to better analyze ECG...
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Autores principales: | Saira Aziz, Sajid Ahmed, Mohamed-Slim Alouini |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/c14651eee2534ba9bbfcd09b77080861 |
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