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Wearable Device Heart Rate and Activity Data in an Unsupervised Approach to Personalized Sleep Monitoring: Algorithm Validation
BACKGROUND: The proliferation of wearable devices that collect activity and heart rate data has facilitated new ways to measure sleeping and waking durations unobtrusively and longitudinally. Most existing sleep/wake identification algorithms are based on activity only and are trained on expensive a...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | JMIR Mhealth Uhealth |
|---|---|
| Prif Awduron: | , , , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
JMIR Publications
2020
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| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7439146/ https://ncbi.nlm.nih.gov/pubmed/32755887 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/18370 |
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