Published on in Vol 10 (2023)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45993, first published .
Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study

Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study

Examining Usability, Acceptability, and Adoption of a Self-Directed, Technology-Based Intervention for Upper Limb Rehabilitation After Stroke: Cohort Study

Journals

  1. Jeter R, Greenfield R, Housley S, Belykh I. Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach. JMIR Biomedical Engineering 2024;9:e56980 View
  2. Soulard J, Kairy D, Walha R, Duclos C, Nadeau S, Auger C. Professionals’ Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e64121 View
  3. Binyamin-Netser R, Handelzalts S, Goldhamer N, Avni I, Tayer Yeshurun A, Koren Y, Bibas Levy O, Kramer S, Bar Haim S, Shmuelof L. Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study. JMIR Serious Games 2025;13:e56397 View