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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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| Publicado no: | NPJ Digit Med |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7481177/ https://ncbi.nlm.nih.gov/pubmed/32964139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-00320-4 |
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