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

doi:10.1007/978-3-030-01845-0_14

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

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

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.

Originalsprog	Engelsk
Titel	Proceedings of the 4th International Conference on NeuroRehabilitation : ICNR2018
Redaktører	Lorenzo Masia, Silvestro Micera, Metin Akay, José L. Pons
Antal sider	5
Forlag	Springer Publishing Company
Publikationsdato	1 jan. 2019
Sider	72-76
ISBN (Trykt)	978-3-030-01844-3
ISBN (Elektronisk)	978-3-030-01845-0
DOI	https://doi.org/10.1007/978-3-030-01845-0_14
Status	Udgivet - 1 jan. 2019
Begivenhed	International Conference on Neurorehabilitation - Pisa, Italien Varighed: 16 okt. 2018 → 20 okt. 2018 http://www.icnr2018.org

Konference

Konference	International Conference on Neurorehabilitation
Land/Område	Italien
By	Pisa
Periode	16/10/2018 → 20/10/2018
Internetadresse	http://www.icnr2018.org

Navn	Biosystems and Biorobotics
Vol/bind	21
ISSN	2195-3562

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10.1007/978-3-030-01845-0_14

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Citationsformater

Dupan, S. S. G., Vujaklija, I., Stachaczyk, M. K., Hahne, J. M., Stegeman, D. F., Dosen, S. S., & Farina, D. (2019). Online simultaneous myoelectric finger control. I L. Masia, S. Micera, M. Akay, & J. L. Pons (red.), Proceedings of the 4th International Conference on NeuroRehabilitation : ICNR2018 (s. 72-76). Springer Publishing Company. https://doi.org/10.1007/978-3-030-01845-0_14

@inproceedings{21244824869448eeb4af87211989647c,

title = "Online simultaneous myoelectric finger control",

abstract = "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.",

author = "Dupan, {Sigrid S.G.} and Ivan Vujaklija and Stachaczyk, {Martyna K.} and Hahne, {Janne M.} and Stegeman, {Dick F.} and Dosen, {Strahinja S.} and Dario Farina",

year = "2019",

month = jan,

day = "1",

doi = "10.1007/978-3-030-01845-0_14",

language = "English",

isbn = "978-3-030-01844-3",

series = "Biosystems and Biorobotics",

publisher = "Springer Publishing Company",

pages = "72--76",

editor = "Lorenzo Masia and Silvestro Micera and Metin Akay and Pons, {Jos{\'e} L. }",

booktitle = "Proceedings of the 4th International Conference on NeuroRehabilitation",

address = "United States",

note = "International Conference on Neurorehabilitation, ICNR ; Conference date: 16-10-2018 Through 20-10-2018",

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Dupan, SSG, Vujaklija, I, Stachaczyk, MK, Hahne, JM, Stegeman, DF, Dosen, SS & Farina, D 2019, Online simultaneous myoelectric finger control. i L Masia, S Micera, M Akay & JL Pons (red), Proceedings of the 4th International Conference on NeuroRehabilitation : ICNR2018. Springer Publishing Company, Biosystems and Biorobotics, bind 21, s. 72-76, International Conference on Neurorehabilitation, Pisa, Italien, 16/10/2018. https://doi.org/10.1007/978-3-030-01845-0_14

Online simultaneous myoelectric finger control. / Dupan, Sigrid S.G.; Vujaklija, Ivan; Stachaczyk, Martyna K. et al.
Proceedings of the 4th International Conference on NeuroRehabilitation : ICNR2018. red. / Lorenzo Masia; Silvestro Micera; Metin Akay; José L. Pons. Springer Publishing Company, 2019. s. 72-76 (Biosystems and Biorobotics, Bind 21).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Online simultaneous myoelectric finger control

AU - Dupan, Sigrid S.G.

AU - Vujaklija, Ivan

AU - Stachaczyk, Martyna K.

AU - Hahne, Janne M.

AU - Stegeman, Dick F.

AU - Dosen, Strahinja S.

AU - Farina, Dario

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

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.

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BT - Proceedings of the 4th International Conference on NeuroRehabilitation

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Dupan SSG, Vujaklija I, Stachaczyk MK, Hahne JM, Stegeman DF, Dosen SS et al. Online simultaneous myoelectric finger control. I Masia L, Micera S, Akay M, Pons JL, red., Proceedings of the 4th International Conference on NeuroRehabilitation : ICNR2018. Springer Publishing Company. 2019. s. 72-76. (Biosystems and Biorobotics, Bind 21). doi: 10.1007/978-3-030-01845-0_14

Online simultaneous myoelectric finger control

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