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

Games for Rehabilitation (94) mHealth for Rehabilitation (263) Augmented Reality (incl. Google Glass) Applications (90) Stroke (163) mHealth for Telemedicine and Homecare (399) Home Care (170) Design and Usability of Consumer Health Tech and Home Monitoring Devices (218) Emerging Technologies for Rehabilitation (261) Cognitive and Neurorehabilitation (262) New Methods (944)

Published on in Vol 9, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30184, first published .
Long-term Effectiveness and Adoption of a Cellphone Augmented Reality System on Patients with Stroke: Randomized Controlled Trial

Long-term Effectiveness and Adoption of a Cellphone Augmented Reality System on Patients with Stroke: Randomized Controlled Trial

Long-term Effectiveness and Adoption of a Cellphone Augmented Reality System on Patients with Stroke: Randomized Controlled Trial

Authors of this article:

Chong Li1 Author Orcid Image ;   Xinyu Song2 Author Orcid Image ;   Shugeng Chen1 Author Orcid Image ;   Chuankai Wang1 Author Orcid Image ;   Jieying He1 Author Orcid Image ;   Yongli Zhang1 Author Orcid Image ;   Shuo Xu1 Author Orcid Image ;   Zhijie Yan1 Author Orcid Image ;   Jie Jia1, 3, 4 Author Orcid Image ;   Peter Shull2 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Journals

  1. Bassano C, Chessa M, Solari F. Visualization and Interaction Technologies in Serious and Exergames for Cognitive Assessment and Training: A Survey on Available Solutions and Their Validation. IEEE Access 2022;10:104295 View
  2. Howard M, Davis M. A meta-analysis and systematic literature review of mixed reality rehabilitation programs: Investigating design characteristics of augmented reality and augmented virtuality. Computers in Human Behavior 2022;130:107197 View
  3. Figeys M, Koubasi F, Hwang D, Hunder A, Miguel-Cruz A, Ríos Rincón A. Challenges and promises of mixed-reality interventions in acquired brain injury rehabilitation: A scoping review. International Journal of Medical Informatics 2023;179:105235 View
  4. Papagiannis G, Triantafyllou Α, Yiannopoulou K, Georgoudis G, Kyriakidou M, Gkrilias P, Skouras A, Bega X, Stasinopoulos D, Matsopoulos G, Syringas P, Tselikas N, Zestas O, Potsika V, Pardalis A, Papaioannou C, Protopappas V, Malizos N, Tachos N, Fotiadis D. Ηand dexterities assessment in stroke patients based on augmented reality and machine learning through a box and block test. Scientific Reports 2024;14(1) View
  5. Soleimani M, Ghazisaeedi M, Heydari S. The efficacy of virtual reality for upper limb rehabilitation in stroke patients: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2024;24(1) View
  6. Sarwat H, Alkhashab A, Song X, Jiang S, Jia J, Shull P. Post-stroke hand gesture recognition via one-shot transfer learning using prototypical networks. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View