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Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach
BACKGROUND: Wearable devices have been widely used in clinical studies to study daily activity patterns, but the analysis remains a major obstacle for researchers. OBJECTIVE: This study proposes a novel method to characterize sleep-activity rhythms using actigraphy and further use it to describe ear...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
JMIR Publications
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554674/ https://www.ncbi.nlm.nih.gov/pubmed/34647895 http://dx.doi.org/10.2196/18403 |