Real-time Brain-computer Interface Systems

Real-Time Brain-Computer Interface Systems is a Brain-Computer Interface system that enables immediate translation of neural signals into device commands with minimal latency, distinguishing itself by supporting continuous, dynamic interaction between the brain and external devices through on-the-fly signal processing and feedback.

284

Publications

17.5K

Citations

1.2K

Authors

418

Institutions

Publications per year

2017–2026

119

Authors

1.2K

  1. GM
    Gernot Müller-Putz

    Graz University of Technology, Austria

    6 publications · 1.1K citations

    6

    h-index

  2. CL
    Chin‐Teng Lin

    National Yang Ming Chiao Tung University, Taiwan

    5 publications · 601 citations

    5

    h-index

  3. TC
    Tom Chau

    University of Toronto, Canada

    5 publications · 109 citations

    5

    h-index

  4. JD
    José del R. Millán

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 469 citations

    5

    h-index

  5. RS
    Reinhold Scherer

    Graz University of Technology, Austria

    5 publications · 769 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Journal of Neural Engineering

    21 publications · 1.6K citations

    17

    h-index

  2. Journal of Neuroscience Methods

    10 publications · 764 citations

    10

    h-index

  3. IEEE Transactions on Biomedical Engineering

    9 publications · 2.2K citations

    9

    h-index

  4. 9

    h-index

  5. PLoS ONE

    8 publications · 779 citations

    8

    h-index

1–5