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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Bibliografiska uppgifter
Huvudupphovsmän: Alison Keogh, Niladri Sett, Seamas Donnelly, Ronan Mullan, Diana Gheta, Martina Maher-Donnelly, Vittorio Illiano, Francesc Calvo, Jonas F. Dorn, Brian Mac Namee, Brian Caulfield
Materialtyp: Artigo
Språk:Inglês
Publicerad: Karger Publishers 2020-09-01
Serie:Digital Biomarkers
Ämnen:
actigraphy
arthritis
remote monitoring
digital biomarkers
Länkar:https://www.karger.com/Article/FullText/509724
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