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Multi-task deep learning for cardiac rhythm detection in wearable devices

Wearable devices enable theoretically continuous, longitudinal monitoring of physiological measurements such as step count, energy expenditure, and heart rate. Although the classification of abnormal cardiac rhythms such as atrial fibrillation from wearable devices has great potential, commercial al...

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Detalles Bibliográficos
Autores principales: Torres-Soto, Jessica, Ashley, Euan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481177/
https://www.ncbi.nlm.nih.gov/pubmed/32964139
http://dx.doi.org/10.1038/s41746-020-00320-4

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