Accessibility settings

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

Portable and Mobile Technologies for Rehabilitation (226) Wearable Devices and Sensors (1255) Technology in Physiotherapy (223) Fitness Trackers and Smart Pedometers/Accelerometers (705) mHealth for Rehabilitation (408) Spinal Cord Injury Rehabilitation (91) Innovations and Technology for Physical Activity Education (991) Disabilities (171)

Published on in Vol 12 (2025)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70063, first published .
Person in wheelchair and girl with laptop in park

Wearable-Enhanced mHealth Intervention to Promote Physical Activity in Manual Wheelchair Users: Single-Group Pre-Post Feasibility Study

Wearable-Enhanced mHealth Intervention to Promote Physical Activity in Manual Wheelchair Users: Single-Group Pre-Post Feasibility Study

Authors of this article:

Zijian Huang1 Author Orcid Image ;   Dan McCoy2 Author Orcid Image ;   Rosemarie Cooper2 Author Orcid Image ;   Theresa M Crytzer3 Author Orcid Image ;   Yueyang Chi1, 4 Author Orcid Image ;   Dan Ding1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. S Elaklouk A, Ramli R, M Alakklouk S, Rahim N. Design Guidelines for a Game-Based Physical Rehabilitation System: Focus Group Study. JMIR Human Factors 2025;12:e67336 View
  2. Wilroy J, Mintz M, Kim Y. Digital Tools to Support Physical Activity in People With Spinal Cord Injury: Current Evidence, Practical Considerations, and Implications. Kinesiology Review 2025:1 View
  3. Zavacky E, Neti A, Chung C, Koontz A. Machine Learning-Based Classification of Wheelchair Task Intensity for Injury Risk Prediction. Automation 2026;7(2):52 View
  4. Zhang H, Zhang H, Chen H, Liu J. Integrative research on technology-assisted physical activity and biological aging: a review of wearable sensors, tele-exercise platforms, and aging biomarkers. Frontiers in Medicine 2026;13 View