SOURCE RECORD / S0196
Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
- Authors or organization
- Edelman BJ, Zhang S, Schalk G, Brunner P, Muller-Putz G, Guan C, He B
- Published date
- 2025-01-28
- Source type
- peer_reviewed_review
- Technology route
- non-invasive EEG, MEG and fNIRS BCI
- Function or setting
- state of the art, algorithms and software
- Rights status
- mirror_allowed / CC BY 4.0
Evidence summary
Evidence: Authoritative framework for non-invasive BCI modalities, device control, algorithms and open software. Key figures: IEEE Review in Biomedical Engineering volume 18, pages 26-49. Limitations: Narrative review; no single effect size or product comparison; cannot alone establish a best device or clinical effectiveness.
Key figures
IEEE Review in Biomedical Engineering volume 18, pages 26-49
Limitations
Narrative review; no single effect size or product comparison; cannot alone establish a best device or clinical effectiveness