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

Theme Issue: Participatory Methods in Rehab Interventions and Assistive Technologies (27) User-Centered Design Case Studies (852) Usability of Virtual Reality Simulations (122) Cognitive and Neurorehabilitation (442) Brain-Machine Interfaces (61) Neurorehabilitation and Technology (57)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71789, first published .
Virtual reality headset user in a classroom setting with students and a teacher.

Recommendations for Combining Brain-Computer Interface, Motor Imagery, and Virtual Reality in Upper Limb Stroke Rehabilitation: Qualitative Participatory Design Study

Recommendations for Combining Brain-Computer Interface, Motor Imagery, and Virtual Reality in Upper Limb Stroke Rehabilitation: Qualitative Participatory Design Study

Authors of this article:

Inês Oliveira1, 2 Author Orcid Image ;   Miguel Russo1 Author Orcid Image ;   Ana Isabel Almeida1 Author Orcid Image ;   Athanasios Vourvopoulos3, 4 Author Orcid Image ;   Carla Mendes Pereira1, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

Journals

  1. Demers M, Winstein C. Neurorehabilitation needs a qualitative perspective: a case exemplar from stroke recovery and rehabilitation. Frontiers in Human Neuroscience 2026;20 View
  2. Grevet E, Izac M, Py J, Amadieu F, Glize B, Gasq D, Jeunet-Kelway C. Bridging innovation and adoption: a mixed-methods investigation into stroke survivors’ acceptability of brain-computer interface-based rehabilitation interventions. Journal of Neural Engineering 2026;23(2):026037 View
  3. Li D, Yin S, Yue S. Toward a structural plasticity paradigm: New approaches to overcoming plateaus in neuro-rehabilitation outcomes. Healthcare and Rehabilitation 2026;2(2):100076 View
  4. WU W, WANG X, SHI Y, ZHAN H. Expert Consensus on Clinical Application of Brain-Computer Interface in Rehabilitation Assessment. Rehabilitation Medicine 2026;36(6):381 View
  5. Shankar R, Lo Y, Fong C, Keong N, Chua K. Motor Imagery Brain–Computer Interface (MI-BCI)-Assisted Upper Limb Neurorehabilitation for Acute Stroke During Inpatient Rehabilitation: A Prospective Feasibility Study with Economic Evaluation Protocol. Journal of Clinical Medicine 2026;15(14):5692 View
  6. Li Y, Deng Y, Deng L, Lu X, Huang C, Chen X, Liu Y, Chen P, Tang M, Wang F. Different feedback modes of brain–computer interface training for upper limb motor function after stroke: a protocol for a systematic review and network meta-analysis. Frontiers in Neurology 2026;17 View
  7. Tao R, Duan C, Zhang Y. Closed-loop brain-computer interfaces for post-stroke sensorimotor loop restoration. Frontiers in Neuroscience 2026;20 View

Books/Policy Documents

  1. Das P, Das B. Brain-Computer Interfaces for Neurorehabilitation. View

Conference Proceedings

  1. Yang X, Mao H. Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications. Rethinking the Relationship between Attention and ERD in Motor Imagery BCI View