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of 4
pro vyhledávání: '"Hendrik Adriaan Dewald"'
Autor:
Platon Lukyanenko, Hendrik Adriaan Dewald, Joris Lambrecht, Robert F. Kirsch, Dustin J. Tyler, Matthew R. Williams
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-15 (2021)
Abstract Background Current commercial prosthetic hand controllers limit patients’ ability to fully engage high Degree-of-Freedom (DoF) prosthetic hands. Available feedforward controllers rely on large training data sets for controller setup and a
Externí odkaz:
https://doaj.org/article/99674a44c4aa4c25a1d2a7c9054ef3b2
Autor:
Hendrik Adriaan Dewald, Platon Lukyanenko, Joris M. Lambrecht, James Robert Anderson, Dustin J. Tyler, Robert F. Kirsch, Matthew R. Williams
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-13 (2019)
Abstract Background Modern prosthetic hands are typically controlled using skin surface electromyographic signals (EMG) from remaining muscles in the residual limb. However, surface electrode performance is limited by changes in skin impedance over t
Externí odkaz:
https://doaj.org/article/44e6be590586463289643e67597b6334
Autor:
Matthew R. Williams, Hendrik Adriaan Dewald, Platon Lukyanenko, Dustin J. Tyler, Joris M. Lambrecht, Robert F. Kirsch
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-15 (2021)
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation
Background Current commercial prosthetic hand controllers limit patients’ ability to fully engage high Degree-of-Freedom (DoF) prosthetic hands. Available feedforward controllers rely on large training data sets for controller setup and a need for
Autor:
James Robert Anderson, Joris M. Lambrecht, Matthew R. Williams, Robert F. Kirsch, Dustin J. Tyler, Hendrik Adriaan Dewald, Platon Lukyanenko
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 16, Iss 1, Pp 1-13 (2019)
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation
Background Modern prosthetic hands are typically controlled using skin surface electromyographic signals (EMG) from remaining muscles in the residual limb. However, surface electrode performance is limited by changes in skin impedance over time, day-