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
Parents
9
David T. Kluger, Janell S. Joyner, Suzanne Wendelken et al. · IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2019 · 40 citations
Engineering, Biomedical Engineering, Rehabilitation Medicine +17
Zhan Li, David Guiraud, David Andreu et al. · International Journal of Neural Systems · 2017 · 36 citations
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Oak Ridge Institute for Science and Education
Oak Ridge, United States
1 h-index
1 publications
40 citations
Northwestern University
Laoag, Philippines
1 h-index
1 publications
36 citations
Institute of Automation
Dresden, Germany
1 h-index
1 publications
26 citations
University of California, Berkeley
Berkeley, United States
1 h-index
5 publications
1.4K citations

Tohoku University
Sendai, Japan
1 h-index
1 publications
36 citations

Université de Montpellier
Montpellier, France
1 h-index
4 publications
144 citations
Interface (United States)
La Grange, United States
1 h-index
3 publications
90 citations
Arizona State University
Tempe, United States
1 h-index
1 publications
71 citations
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2 publications · 76 citations
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1 publications · 36 citations
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JNER · 1 publications · 23 citations
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1 publications · 26 citations
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1 publications · 71 citations
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