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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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Библиографические подробности
Опубликовано в: :Digit Biomark
Главные авторы: Keogh, Alison, Sett, Niladri, Donnelly, Seamas, Mullan, Ronan, Gheta, Diana, Maher-Donnelly, Martina, Illiano, Vittorio, Calvo, Francesc, Dorn, Jonas F., Mac Namee, Brian, Caulfield, Brian
Формат: Artigo
Язык:Inglês
Опубликовано: S. Karger AG 2020
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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