Imperial College London

ProfessorDarioFarina

Faculty of EngineeringDepartment of Bioengineering

Chair in Neurorehabilitation Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1387d.farina Website

 
 
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Location

 

RSM 4.15Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Dupan:2019:10.1007/978-3-030-01845-0_14,
author = {Dupan, SSG and Vujaklija, I and Stachaczyk, MK and Hahne, JM and Stegeman, DF and Dosen, SS and Farina, D},
booktitle = {Biosystems and Biorobotics},
doi = {10.1007/978-3-030-01845-0_14},
pages = {72--76},
title = {Online simultaneous myoelectric finger control},
url = {http://dx.doi.org/10.1007/978-3-030-01845-0_14},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CHAP
AB - 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.
AU - Dupan,SSG
AU - Vujaklija,I
AU - Stachaczyk,MK
AU - Hahne,JM
AU - Stegeman,DF
AU - Dosen,SS
AU - Farina,D
DO - 10.1007/978-3-030-01845-0_14
EP - 76
PY - 2019///
SP - 72
TI - Online simultaneous myoelectric finger control
T1 - Biosystems and Biorobotics
UR - http://dx.doi.org/10.1007/978-3-030-01845-0_14
ER -