This paper is in the following e-collection/theme issue:

Fitness Trackers and Smart Pedometers/Accelerometers (684) Wearable Devices and Sensors (1177) mHealth for Data Collection and Research (1223) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1781) Chronic Conditions (464)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57599, first published .
Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study

Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study

Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study

Authors of this article:

Nicole Bou Rjeily1 Author Orcid Image ;   Muraleetharan Sanjayan1 Author Orcid Image ;   Pratim Guha Niyogi2 Author Orcid Image ;   Blake E Dewey1 Author Orcid Image ;   Alexandra Zambriczki Lee1 Author Orcid Image ;   Christy Hulett1 Author Orcid Image ;   Gabriella Dagher1 Author Orcid Image ;   Chen Hu1 Author Orcid Image ;   Rafal D Mazur1 Author Orcid Image ;   Elena M Kenney1 Author Orcid Image ;   Erin Brennan1 Author Orcid Image ;   Anna DuVal1 Author Orcid Image ;   Peter A Calabresi1 Author Orcid Image ;   Vadim Zipunnikov2 Author Orcid Image ;   Kathryn C Fitzgerald1 Author Orcid Image ;   Ellen M Mowry1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Filippatou A, Mowry E. Sensors in Multiple Sclerosis. Current Neurology and Neuroscience Reports 2025;25(1) View
  2. Guha Niyogi P, Sanjayan M, Ghosal R, Goldsmith J, Fitzgerald K, Mowry E, Zipunnikov V. Quantifying observable movement reserve in multiple sclerosis via upper diurnal activity quantiles. Multiple Sclerosis Journal 2026 View