Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study

Sigrid S.G. Dupan; Agamemnon Krasoulis; Kianoush  Nazarpour

doi:10.1109/EMBC44109.2020.9175402

Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study

Sigrid S.G. Dupan, Agamemnon Krasoulis, Kianoush Nazarpour

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

Abstract / Description of output

Myoelectric prostheses are commonly controlled by surface EMG. Many control algorithms, including the user learning-based control paradigm abstract control, benefit from independent control signals. Measuring at the surface of the skin reduces the signal independence through cross talk. To increase the number of independent signals, intramuscular EMG recordings might be a viable alternative for myoelectric control. This proof of concept study investigated if real time abstract myoelectric control is possible with intramuscular measurements. Six participants performed a 4-target and 12-target abstract control task with both surface and intramuscular EMG recordings. The results suggest that intramuscular EMG is suitable for abstract control, and that performance could be increased in the future by stabilizing the amplitude of the processed intramuscular EMG signal.

Original language	English
Title of host publication	2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3277-3280
Number of pages	4
ISBN (Electronic)	978-1-7281-1990-8
ISBN (Print)	978-1-7281-1991-5
DOIs	https://doi.org/10.1109/EMBC44109.2020.9175402
Publication status	Published - 27 Aug 2020
Event	42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Montréal, Québec, Canada Duration: 20 Jul 2020 → 24 Jul 2020 Conference number: 42 https://embc.embs.org/2020/

Publication series

Name
Publisher	IEEE
ISSN (Print)	1557-170X
ISSN (Electronic)	1558-4615

Conference

Conference	42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated title	EMBC 2020
Country/Territory	Canada
City	Québec
Period	20/07/20 → 24/07/20
Internet address	https://embc.embs.org/2020/

Access to Document

10.1109/EMBC44109.2020.9175402Licence: All Rights Reserved

https://ieeexplore.ieee.org/abstract/document/9175402Licence: All Rights Reserved

Sensorimotor learning for control of prosthetic limbs
Nazarpour, K.
1/02/18 → 31/01/23
Project: Research

Cite this

Dupan, S. S. G., Krasoulis, A., & Nazarpour, K. (2020). Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC) (pp. 3277-3280). Institute of Electrical and Electronics Engineers (IEEE). Advance online publication. https://doi.org/10.1109/EMBC44109.2020.9175402

@inproceedings{c1a3b2e731534e73be3e4717d0101d80,

title = "Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study",

abstract = "Myoelectric prostheses are commonly controlled by surface EMG. Many control algorithms, including the user learning-based control paradigm abstract control, benefit from independent control signals. Measuring at the surface of the skin reduces the signal independence through cross talk. To increase the number of independent signals, intramuscular EMG recordings might be a viable alternative for myoelectric control. This proof of concept study investigated if real time abstract myoelectric control is possible with intramuscular measurements. Six participants performed a 4-target and 12-target abstract control task with both surface and intramuscular EMG recordings. The results suggest that intramuscular EMG is suitable for abstract control, and that performance could be increased in the future by stabilizing the amplitude of the processed intramuscular EMG signal.",

author = "Dupan, {Sigrid S.G.} and Agamemnon Krasoulis and Kianoush Nazarpour",

year = "2020",

month = aug,

day = "27",

doi = "10.1109/EMBC44109.2020.9175402",

language = "English",

isbn = "978-1-7281-1991-5",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "3277--3280",

booktitle = "2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)",

address = "United States",

note = "42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 ; Conference date: 20-07-2020 Through 24-07-2020",

url = "https://embc.embs.org/2020/",

}

Dupan, SSG, Krasoulis, A & Nazarpour, K 2020, Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study. in 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), pp. 3277-3280, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Québec, Quebec, Canada, 20/07/20. https://doi.org/10.1109/EMBC44109.2020.9175402

Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study. / Dupan, Sigrid S.G.; Krasoulis, Agamemnon; Nazarpour, Kianoush .
2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), 2020. p. 3277-3280.

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

TY - GEN

T1 - Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study

AU - Dupan, Sigrid S.G.

AU - Krasoulis, Agamemnon

AU - Nazarpour, Kianoush

N1 - Conference code: 42

PY - 2020/8/27

Y1 - 2020/8/27

N2 - Myoelectric prostheses are commonly controlled by surface EMG. Many control algorithms, including the user learning-based control paradigm abstract control, benefit from independent control signals. Measuring at the surface of the skin reduces the signal independence through cross talk. To increase the number of independent signals, intramuscular EMG recordings might be a viable alternative for myoelectric control. This proof of concept study investigated if real time abstract myoelectric control is possible with intramuscular measurements. Six participants performed a 4-target and 12-target abstract control task with both surface and intramuscular EMG recordings. The results suggest that intramuscular EMG is suitable for abstract control, and that performance could be increased in the future by stabilizing the amplitude of the processed intramuscular EMG signal.

AB - Myoelectric prostheses are commonly controlled by surface EMG. Many control algorithms, including the user learning-based control paradigm abstract control, benefit from independent control signals. Measuring at the surface of the skin reduces the signal independence through cross talk. To increase the number of independent signals, intramuscular EMG recordings might be a viable alternative for myoelectric control. This proof of concept study investigated if real time abstract myoelectric control is possible with intramuscular measurements. Six participants performed a 4-target and 12-target abstract control task with both surface and intramuscular EMG recordings. The results suggest that intramuscular EMG is suitable for abstract control, and that performance could be increased in the future by stabilizing the amplitude of the processed intramuscular EMG signal.

U2 - 10.1109/EMBC44109.2020.9175402

DO - 10.1109/EMBC44109.2020.9175402

M3 - Conference contribution

SN - 978-1-7281-1991-5

SP - 3277

EP - 3280

BT - 2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 20 July 2020 through 24 July 2020

ER -

Intramuscular EMG For Abstract Myoelectric Control: A Proof Of Concept Study

Abstract / Description of output

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Projects

Sensorimotor learning for control of prosthetic limbs

Cite this