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

Cognitive and Neurorehabilitation (349) Neurology and Neurosciences (286) Chronic Conditions (434) Digital Health, Telehealth and e-Innovation in Clinical Settings (556) Disabilities (157) Emerging Technologies for Rehabilitation (347) Technology in Physiotherapy (189)

Published on in Vol 9, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31164, first published .
The Association Between Actigraphy-Derived Behavioral Clusters and Self-Reported Fatigue in Persons With Multiple Sclerosis: Cross-sectional Study

The Association Between Actigraphy-Derived Behavioral Clusters and Self-Reported Fatigue in Persons With Multiple Sclerosis: Cross-sectional Study

The Association Between Actigraphy-Derived Behavioral Clusters and Self-Reported Fatigue in Persons With Multiple Sclerosis: Cross-sectional Study

Authors of this article:

Philipp Gulde1, 2 Author Orcid Image ;   Peter Rieckmann1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Schmidle S, Gulde P, Koster R, Soaz C, Hermsdörfer J. The relationship between self-reported physical frailty and sensor-based physical activity measures in older adults – a multicentric cross-sectional study. BMC Geriatrics 2023;23(1) View
  2. Gulde P, Vojta H, Schmidle S, Rieckmann P, Hermsdörfer J. Going beyond PA: Assessing sensorimotor capacity with wearables in multiple sclerosis—a cross-sectional study. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
  3. Dias M, Dörr F, Garthof S, Schäfer S, Elmers J, Schwed L, Linz N, Overell J, Hayward-Koennecke H, Tröger J, König A, Dillenseger A, Tackenberg B, Ziemssen T. Detecting fatigue in multiple sclerosis through automatic speech analysis. Frontiers in Human Neuroscience 2024;18 View
  4. Bou Rjeily N, Sanjayan M, Guha Niyogi P, Dewey B, Zambriczki Lee A, Hulett C, Dagher G, Hu C, Mazur R, Kenney E, Brennan E, DuVal A, Calabresi P, Zipunnikov V, Fitzgerald K, Mowry E. Accelerometry-Assessed Physical Activity and Circadian Rhythm to Detect Clinical Disability Status in Multiple Sclerosis: Cross-Sectional Study. JMIR mHealth and uHealth 2025;13:e57599 View
  5. Gulde P, Vojta H, Schmidle S, Rieckmann P, Hermsdörfer J. The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-design study. Journal of NeuroEngineering and Rehabilitation 2025;22(1) View

Books/Policy Documents

  1. Hermsdörfer J, Vojta H, Schmidle S, Rieckmann P, Gulde P. Converging Clinical and Engineering Research on Neurorehabilitation V. View