Online Simultaneous Myoelectric Finger Control

Sigrid S. G. Dupan, Ivan Vujaklija, Martyna K. Stachaczyk, Janne M. Hahne, Dick F. Stegeman, Strahinja S. Dosen, Dario Farina

Research output: Chapter in Book/Report/Conference proceedingConference contribution


State-of-the-art prosthetic hands allow separate control of all digits. Restoring natural hand use with these systems requires simultaneous and proportional control of all fingers. Regression algorithms might be able to predict any combination of degrees of freedom after training them separately. However, to the best of our knowledge, this has yet to be shown online. Twelve able-bodied participants were instructed to reach predefined target forces representing either single or combined finger presses, following a system training session consisting of only individual finger presses. Myoelectric control was implemented using linear ridge regression. The results demonstrated that myoelectric control allowed participants to reach both single finger, and combination targets, with hit rates of 88% and 54% respectively. These findings suggest that simultaneous control of multiple fingers is possible, even when these movements are not included in the training set.
Original languageEnglish
Title of host publicationConverging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)
EditorsLorenzo Masia, Silvestro Micera, Metin Akay, José L. Pons
Place of PublicationCham
Number of pages5
ISBN (Electronic)978-3-030-01845-0
ISBN (Print)978-3-030-01844-3
Publication statusPublished - 16 Oct 2018
Event4th International Conference on NeuroRehabilitation - Pisa, Italy
Duration: 16 Oct 201816 Oct 2020

Publication series

NameBiosystems & Biorobotics
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570


Conference4th International Conference on NeuroRehabilitation
Abbreviated titleICNR 2018
Internet address


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