Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43615, first published .

Journals

  1. Tedeschi R. Kinematic and plantar pressure analysis in Strumpell-Lorrain disease: A case report. Brain Disorders 2023;11:100097 View
  2. Vizza P, Marotta N, Ammendolia A, Guzzi P, Veltri P, Tradigo G. REHABS: An Innovative and User-Friendly Device for Rehabilitation. Bioengineering 2023;11(1):5 View
  3. Shariat A, Najafabadi M, Nakhostin Ansari N, Anastasio A, Bagheri K, Hassanzadeh G, Farghadan M. Outcome Measures Utilized to Assess the Efficacy of Telerehabilitation for Post-Stroke Rehabilitation: A Scoping Review. Brain Sciences 2023;13(12):1725 View
  4. Kidritsch A, Lagiou A, Sakellariou D, Sakellari E. Health service user participation in interprofessional collaborative learning — a systematic review on the use of digital solutions / Die Teilnahme von Gesundheitsdienst-Nutzenden an interprofessionell kollaborativem Lernen — ein systematischer Review über den Gebrauch digitaler Lösungen. International Journal of Health Professions 2023;10(1):136 View
  5. Merolli M, Francis J, Vallance P, Bennell K, Malliaras P, Hinman R. Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review. JMIR mHealth and uHealth 2024;12:e55003 View
  6. Zdziechowski A, Zdziechowska M, Rysz J, Woldańska-Okońska M. The Effectiveness of Preoperative Outpatient and Home Rehabilitation and the Impact on the Results of Hip Arthroplasty: Introductory Report. Healthcare 2024;12(3):327 View
  7. Kocyigit B, Assylbek M, Yessirkepov M. Telerehabilitation: lessons from the COVID-19 pandemic and future perspectives. Rheumatology International 2024;44(4):577 View
  8. Zaher M, Ghoneim A, Abdelhamid L, Atia A. Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets. Multimedia Tools and Applications 2024 View
  9. Alagappan T, Bhansali N, Bhansali T. Navigating the integration of technology in physiotherapy: A balanced approach. IP Journal of Surgery and Allied Sciences 2024;6(1):1 View
  10. Sassi M, Villa Corta M, Pisani M, Nicodemi G, Schena E, Pecchia L, Longo U. Advanced Home-Based Shoulder Rehabilitation: A Systematic Review of Remote Monitoring Devices and Their Therapeutic Efficacy. Sensors 2024;24(9):2936 View
  11. Kim J, Kim E, Lee S, Lee G, Kim Y. Use of cortical hemodynamic responses in digital therapeutics for upper limb rehabilitation in patients with stroke. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  12. Lastrucci A, Wandael Y, Barra A, Ricci R, Maccioni G, Pirrera A, Giansanti D. Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality?. Diagnostics 2024;14(13):1333 View
  13. Xuan Chua M, Okubo Y, Peng S, Nho Do T, Hui Wang C, Wu L. Analysis of Fatigue-Induced Compensatory Movements in Bicep Curls: Gaining Insights for the Deployment of Wearable Sensors. IEEE Transactions on Medical Robotics and Bionics 2024;6(3):1147 View
  14. Arntz A, Weber F, Grüneberg C. Smart Physiotherapy: Wie die Digitalisierung die Physiotherapie verändern wird. MSK – Muskuloskelettale Physiotherapie 2024;28(04):209 View
  15. 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
  16. Fakolade A, Salvia A, Phadke S, Kunz M. An Interactive Vision‐Based 3D Augmented Reality System for In‐Home Physical Rehabilitation: A Qualitative Inquiry to Inform System Development. Health Expectations 2024;27(5) View
  17. Maithreepala S, Chao H, Chen H, Pimsen A, Shu B. The Effect of Internet-Based Cardiac Rehabilitation on Anxiety, Depression, and Quality of Life Among Patients With Ischemic Heart Disease. Journal of Cardiovascular Nursing 2024 View