Closed-loop Neuroprosthetic Control

Closed-Loop Neuroprosthetic Control is a neuroprosthetic control paradigm that incorporates real-time feedback from neural or physiological signals to dynamically adjust prosthetic device output, thereby enabling adaptive and context-sensitive interaction between the user and the prosthetic system.

9

Publications

565

Citations

38

Authors

20

Institutions

Publications per year

2017–2026

3

Authors

38

  1. DT
    Douglas T. Hutchinson

    University of Utah, United States

    1 publications · 40 citations

    1

    h-index

  2. AL
    Amy L. Orsborn

    University of California, Berkeley, United States

    1 publications · 289 citations

    1

    h-index

  3. AB
    Andrew B. Schwartz

    University of Pittsburgh, United States

    1 publications · 71 citations

    1

    h-index

  4. DT
    David T. Kluger

    University of Utah, United States

    1 publications · 40 citations

    1

    h-index

  5. SD
    Strahinja Došen

    Aalborg University, Denmark

    1 publications · 14 citations

    1

    h-index

1–5 of 38

Venues

  1. 2

    h-index

  2. International Journal of Neural Systems

    1 publications · 36 citations

    1

    h-index

  3. Journal of NeuroEngineering and Rehabilitation

    JNER · 1 publications · 23 citations

    1

    h-index

  4. 1

    h-index

  5. Reviews in the Neurosciences

    1 publications · 71 citations

    1

    h-index

1–5