Recommendations for Combining Brain-Computer Interface, Motor Imagery, and Virtual Reality in Upper Limb Stroke Rehabilitation: Qualitative Participatory Design Study
Current results contribute to establishing clear guidelines on patient selection, task design, intervention structuring, motivation factors, and tailoring of sensory feedback. This framework presents a foundation for optimal implementation of VR-BCI-based interventions that associate MI and motor observation, optimizing cortical activity during the intervention, patients' engagement, and clinical outcomes. Future research should explore the application of these guidelines for validation and investigate BCIs' efficacy according to different combinations of patients' profiles, task characteristics, and technology features.
Authors
- Ana Paula Ribeiro de Almeida (ORCID: https://orcid.org/0000-0002-1157-2659)
- Miguel Russo
- Athanasios Vourvopoulos (ORCID: https://orcid.org/0000-0001-9676-8599)
- Isabela Ferreira de Oliveira
- Carla Mendes Pereira (ORCID: https://orcid.org/0000-0002-2899-9640)
Institutions
- Universidade Politécnica de Lisboa (PT)
- Universidade Politécnica de Setúbal (PT)
- Centro de Medicina de Reabilitacao do Alcoitão (PT)
- Centre for Research in Anthropology (PT)
- Escola Superior de Saúde do Alcoitão (PT)
- Institute for Biotechnology and Bioengineering (PT)
- Universidade Nova de Lisboa (PT)
Publication Details
- Journal
- JMIR Rehabilitation and Assistive Technologies
- Published
- 2025-10-15
- DOI
- https://doi.org/10.2196/71789
- Citations
- 1
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.43