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

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


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 publicationProceedings of the 4th International Conference on NeuroRehabilitation : ICNR2018
EditorsLorenzo Masia, Silvestro Micera, Metin Akay, José L. Pons
Number of pages5
PublisherSpringer Publishing Company
Publication date1 Jan 2019
ISBN (Print)978-3-030-01844-3
ISBN (Electronic)978-3-030-01845-0
Publication statusPublished - 1 Jan 2019
EventInternational Conference on Neurorehabilitation - Pisa, Italy
Duration: 16 Oct 201820 Oct 2018


ConferenceInternational Conference on Neurorehabilitation
Internet address
SeriesBiosystems and Biorobotics


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