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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Digit Biomark
Κύριοι συγγραφείς: 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
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: S. Karger AG 2020
Θέματα:
Διαθέσιμο Online: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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