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A Thorough Examination of Morning Activity Patterns in Adults with Arthritis and Healthy Controls Using Actigraphy Data
BACKGROUND: Wearable sensors allow researchers to remotely capture digital health data, including physical activity, which may identify digital biomarkers to differentiate healthy and clinical cohorts. To date, research has focused on high-level data (e.g., overall step counts) which may limit our i...
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| Опубликовано в: : | Digit Biomark |
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| Главные авторы: | , , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
S. Karger AG
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7590760/ https://ncbi.nlm.nih.gov/pubmed/33173843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1159/000509724 |
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