A multichannel sEMG method for myoelectric control of a forearm prosthesis

D.W. van Baal; D.W. van Baal; Heintje Johanna Berendina Muijzer-Witteveen; L.A.C. Kallenberg; Hermanus J. Hermens; Johan Swanik Rietman

A multichannel sEMG method for myoelectric control of a forearm prosthesis

D.W. van Baal, D.W. van Baal, Heintje Johanna Berendina Muijzer-Witteveen, L.A.C. Kallenberg, Hermanus J. Hermens, Johan Swanik Rietman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

23 Downloads (Pure)

Abstract

A large number of amputee patients doesn't use their myoelectric prosthesis, mainly due to the limited functionality of the prosthesis. The aim of this study was to investigate if it is possible to distinguish 8 different contractions by using multi-electrode sEMG. We analysed sEMG signals of a grid of 40 and 30 electrodes from 10 healthy subjects and 1 amputee patient respectively during 8 different isometric movements of the wrist and fingers and classified them with a nearest neighbour classifier. The results were very promising: over 99.5% of the movements were correctly classified and reducing the number of electrodes to 20 and 10 electrods only decreases the performance with 0.05 and 0.18%.

Original language	Undefined
Title of host publication	Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter
Editors	P.H. Veltink, W. Eberle
Place of Publication	Enschede
Publisher	University of Twente
Pages	68-68
Number of pages	1
ISBN (Print)	978-90-365-2933-4
Publication status	Published - 9 Nov 2009
Event	4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009 - University of Twente, Enschede, Netherlands Duration: 9 Nov 2009 → 10 Nov 2009 Conference number: 4

Publication series

Name
Publisher	University of Twente

Conference

Conference	4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009
Country	Netherlands
City	Enschede
Period	9/11/09 → 10/11/09

Keywords

METIS-264622
IR-69549
nearest neighbour classification
BSS-Biomechatronics and rehabilitation technology
EWI-17227
multi-electrode sEMG
Myoelectric prosthesis

Access to Document

26_-_van_Baal
open
26_-_van_Baal
open

Cite this

van Baal, D. W., van Baal, D. W., Muijzer-Witteveen, H. J. B., Kallenberg, L. A. C., Hermens, H. J., & Rietman, J. S. (2009). A multichannel sEMG method for myoelectric control of a forearm prosthesis. In P. H. Veltink, & W. Eberle (Eds.), Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter (pp. 68-68). Enschede: University of Twente.

van Baal, D.W. ; van Baal, D.W. ; Muijzer-Witteveen, Heintje Johanna Berendina ; Kallenberg, L.A.C. ; Hermens, Hermanus J. ; Rietman, Johan Swanik. / A multichannel sEMG method for myoelectric control of a forearm prosthesis. Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter. editor / P.H. Veltink ; W. Eberle. Enschede : University of Twente, 2009. pp. 68-68

@inproceedings{aaaab305c4d047868cfe2e30b65b922f,

title = "A multichannel sEMG method for myoelectric control of a forearm prosthesis",

abstract = "A large number of amputee patients doesn't use their myoelectric prosthesis, mainly due to the limited functionality of the prosthesis. The aim of this study was to investigate if it is possible to distinguish 8 different contractions by using multi-electrode sEMG. We analysed sEMG signals of a grid of 40 and 30 electrodes from 10 healthy subjects and 1 amputee patient respectively during 8 different isometric movements of the wrist and fingers and classified them with a nearest neighbour classifier. The results were very promising: over 99.5{\%} of the movements were correctly classified and reducing the number of electrodes to 20 and 10 electrods only decreases the performance with 0.05 and 0.18{\%}.",

keywords = "METIS-264622, IR-69549, nearest neighbour classification, BSS-Biomechatronics and rehabilitation technology, EWI-17227, multi-electrode sEMG, Myoelectric prosthesis",

author = "{van Baal}, D.W. and {van Baal}, D.W. and Muijzer-Witteveen, {Heintje Johanna Berendina} and L.A.C. Kallenberg and Hermens, {Hermanus J.} and Rietman, {Johan Swanik}",

year = "2009",

month = "11",

day = "9",

language = "Undefined",

isbn = "978-90-365-2933-4",

publisher = "University of Twente",

pages = "68--68",

editor = "P.H. Veltink and W. Eberle",

booktitle = "Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter",

address = "Netherlands",

}

van Baal, DW, van Baal, DW, Muijzer-Witteveen, HJB, Kallenberg, LAC, Hermens, HJ & Rietman, JS 2009, A multichannel sEMG method for myoelectric control of a forearm prosthesis. in PH Veltink & W Eberle (eds), Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter. University of Twente, Enschede, pp. 68-68, 4th Annual Symposium of the Benelux Chapter of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS Benelux) 2009, Enschede, Netherlands, 9/11/09.

A multichannel sEMG method for myoelectric control of a forearm prosthesis. / van Baal, D.W.; van Baal, D.W.; Muijzer-Witteveen, Heintje Johanna Berendina; Kallenberg, L.A.C.; Hermens, Hermanus J.; Rietman, Johan Swanik.

Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter. ed. / P.H. Veltink; W. Eberle. Enschede : University of Twente, 2009. p. 68-68.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - A multichannel sEMG method for myoelectric control of a forearm prosthesis

AU - van Baal, D.W.

AU - Muijzer-Witteveen, Heintje Johanna Berendina

AU - Kallenberg, L.A.C.

AU - Hermens, Hermanus J.

AU - Rietman, Johan Swanik

PY - 2009/11/9

Y1 - 2009/11/9

N2 - A large number of amputee patients doesn't use their myoelectric prosthesis, mainly due to the limited functionality of the prosthesis. The aim of this study was to investigate if it is possible to distinguish 8 different contractions by using multi-electrode sEMG. We analysed sEMG signals of a grid of 40 and 30 electrodes from 10 healthy subjects and 1 amputee patient respectively during 8 different isometric movements of the wrist and fingers and classified them with a nearest neighbour classifier. The results were very promising: over 99.5% of the movements were correctly classified and reducing the number of electrodes to 20 and 10 electrods only decreases the performance with 0.05 and 0.18%.

AB - A large number of amputee patients doesn't use their myoelectric prosthesis, mainly due to the limited functionality of the prosthesis. The aim of this study was to investigate if it is possible to distinguish 8 different contractions by using multi-electrode sEMG. We analysed sEMG signals of a grid of 40 and 30 electrodes from 10 healthy subjects and 1 amputee patient respectively during 8 different isometric movements of the wrist and fingers and classified them with a nearest neighbour classifier. The results were very promising: over 99.5% of the movements were correctly classified and reducing the number of electrodes to 20 and 10 electrods only decreases the performance with 0.05 and 0.18%.

KW - METIS-264622

KW - IR-69549

KW - nearest neighbour classification

KW - BSS-Biomechatronics and rehabilitation technology

KW - EWI-17227

KW - multi-electrode sEMG

KW - Myoelectric prosthesis

M3 - Conference contribution

SN - 978-90-365-2933-4

SP - 68

EP - 68

BT - Proceedings of the 4th Annual symposium of the IEEE-EMBS Benelux Chapter

A2 - Veltink, P.H.

A2 - Eberle, W.

PB - University of Twente

CY - Enschede

ER -