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ECG-based machine-learning algorithms for heartbeat classification

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 signals,...

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Detalles Bibliográficos
Autores principales: Aziz, Saira, Ahmed, Sajid, Alouini, Mohamed-Slim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455569/
https://www.ncbi.nlm.nih.gov/pubmed/34548508
http://dx.doi.org/10.1038/s41598-021-97118-5