SOURCE RECORD / S0196

Non-Invasive Brain-Computer Interfaces: State of the Art and Trends

Evidence B

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

Legacy aliases

—

Related topics

• BCI 最优方案
• 非侵入式 BCI

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.

View original on AIbci Original source View Chinese translationDownload original / fullTextXML.xmlDownload Chinese translation / zh.mdDOI / 10.1109/RBME.2024.3449790License evidence / europepmc-fullTextXML.xmlOriginal license terms

This file is a rights-reviewed, hash-verified mirror. This site is not the original publisher. File type：application/xml；File size：447535 bytes；SHA-256：3456bff9f1140d5cbd745e2c70ef029d14b0fe941f82b551454e35ecf493baad；Verified at：2026-07-23T13:00:00+00:00。