Neuromuscular Interface Design

Neuromuscular Interface Design is a methodological framework within muscle signal processing that integrates physiological modeling and signal acquisition techniques to establish bidirectional communication between the nervous system and external devices by decoding motor intent from electromyographic signals.

44

Publications

2.5K

Citations

181

Authors

85

Institutions

Publications per year

2017–2026

18

Authors

181

  1. HH
    Hugh Herr

    Massachusetts Institute of Technology, United States

    2 publications · 90 citations

    2

    h-index

  2. NJ
    Nikola Jorgovanović

    University of Novi Sad, Serbia

    2 publications · 58 citations

    2

    h-index

  3. DY
    Deren Y. Barsakcioglu

    Imperial College London, United Kingdom

    2 publications · 90 citations

    2

    h-index

  4. WR
    Wim Rutten

    University of Twente, Netherlands

    2 publications · 58 citations

    2

    h-index

  5. DF
    Dario Farina

    Aalborg University, Denmark

    2 publications · 90 citations

    2

    h-index

1–5 of 181

Venues

  1. Journal of Neural Engineering

    3 publications · 129 citations

    3

    h-index

  2. PubMed

    Repository · 3 publications · 41 citations

    3

    h-index

  3. Nature Biomedical Engineering

    2 publications · 187 citations

    2

    h-index

  4. IEEE Transactions on Biomedical Engineering

    2 publications · 111 citations

    2

    h-index

  5. Nano Energy

    1 publications · 147 citations

    1

    h-index

1–5