Multi-task deep learning for cardiac rhythm detection in wearable devices
Abstract 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, comm...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2020
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| Accès en ligne: | https://doaj.org/article/5a718835d2b145be865ed6e1fbd315a6 |
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