Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48900, first published .
Design of Virtual Reality Exergames for Upper Limb Stroke Rehabilitation Following Iterative Design Methods: Usability Study

Design of Virtual Reality Exergames for Upper Limb Stroke Rehabilitation Following Iterative Design Methods: Usability Study

Design of Virtual Reality Exergames for Upper Limb Stroke Rehabilitation Following Iterative Design Methods: Usability Study

Journals

  1. Lin S, Lee J, Yang Y, Fang C, Fang H, Hou T. Exploring the Design of Upper Limb Strength Training Through High-Intensity Interval Training Combined With Exergaming: Usability Study. JMIR Serious Games 2024;12:e51730 View
  2. De Pasquale P, Bonanno M, Mojdehdehbaher S, Quartarone A, Calabrò R. The Use of Head-Mounted Display Systems for Upper Limb Kinematic Analysis in Post-Stroke Patients: A Perspective Review on Benefits, Challenges and Other Solutions. Bioengineering 2024;11(6):538 View
  3. Diriba Kenea C, Gemechu Abessa T, Lamba D, Bonnechère B. Technological Features of Immersive Virtual Reality Systems for Upper Limb Stroke Rehabilitation: A Systematic Review. Sensors 2024;24(11):3546 View
  4. Rony R, Amir S, Ahmed N, Atiba S, Verdezoto N, Sparkes V, Stawarz K. Understanding the Sociocultural Challenges and Opportunities for Affordable Wearables to Support Poststroke Upper-Limb Rehabilitation: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e54699 View
  5. Chao T, Lin C, Lee M, Chang C, Lai C, Huang C, Chang W, Chiang S. The Efficacy of Early Rehabilitation Combined with Virtual Reality Training in Patients with First-Time Acute Stroke: A Randomized Controlled Trial. Life 2024;14(7):847 View
  6. Ghodousi Moghadam S, Mazloum Khorasani Z, Sharifzadeh N, Tabesh H. A Mobile Serious Game About Diabetes Self-Management: Design and Evaluation. Heliyon 2024:e37755 View
  7. Tan X, Wang K, Sun W, Li X, Wang W, Tian F. A Review of Recent Advances in Cognitive-Motor Dual-Tasking for Parkinson’s Disease Rehabilitation. Sensors 2024;24(19):6353 View