Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation

Zhou Ping; Madeleine M. Lowery; Richard F. Weir; Todd A. Kuiken

Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation

Zhou Ping^*, Madeleine M. Lowery, Richard F. Weir, Todd A. Kuiken

^*Corresponding author for this work

Physical Medicine and Rehabilitation

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

15 Scopus citations

Abstract

We investigated elimination of electrocardiogram (ECG) artifacts from the myoelectric prosthesis control signals, taken from the reinnervated pectoralis muscles of a patient with bilateral amputations at shoulder disarticulation level. The performance of various ECG artifact removal methods including high pass filtering, spike clipping, template subtracting, wavelet thresholding and adaptive filtering was presented. In particular, considering the clinical requirements and memory limitation of commercial prosthesis controllers, we further explored suitable means of ECG artifact removal for clinical application.

Original language	English (US)
Title of host publication	Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages	5276-5279
Number of pages	4
State	Published - 2005
Event	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: Sep 1 2005 → Sep 4 2005

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	7 VOLS
ISSN (Print)	0589-1019

Other

Other	2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/Territory	China
City	Shanghai
Period	9/1/05 → 9/4/05

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

Ping, Z., Lowery, M. M., Weir, R. F., & Kuiken, T. A. (2005). Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 5276-5279). Article 1615670 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Ping, Zhou ; Lowery, Madeleine M. ; Weir, Richard F. et al. / Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. pp. 5276-5279 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

@inproceedings{f0fc656c8e9949d78e22347638d67a29,

title = "Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation",

abstract = "We investigated elimination of electrocardiogram (ECG) artifacts from the myoelectric prosthesis control signals, taken from the reinnervated pectoralis muscles of a patient with bilateral amputations at shoulder disarticulation level. The performance of various ECG artifact removal methods including high pass filtering, spike clipping, template subtracting, wavelet thresholding and adaptive filtering was presented. In particular, considering the clinical requirements and memory limitation of commercial prosthesis controllers, we further explored suitable means of ECG artifact removal for clinical application.",

author = "Zhou Ping and Lowery, {Madeleine M.} and Weir, {Richard F.} and Kuiken, {Todd A.}",

year = "2005",

language = "English (US)",

isbn = "0780387406",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "5276--5279",

booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",

note = "2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 ; Conference date: 01-09-2005 Through 04-09-2005",

}

Ping, Z, Lowery, MM, Weir, RF & Kuiken, TA 2005, Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1615670, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, pp. 5276-5279, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 9/1/05.

Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation. / Ping, Zhou; Lowery, Madeleine M.; Weir, Richard F. et al.
Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 5276-5279 1615670 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

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

TY - GEN

T1 - Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation

AU - Ping, Zhou

AU - Lowery, Madeleine M.

AU - Weir, Richard F.

AU - Kuiken, Todd A.

PY - 2005

Y1 - 2005

N2 - We investigated elimination of electrocardiogram (ECG) artifacts from the myoelectric prosthesis control signals, taken from the reinnervated pectoralis muscles of a patient with bilateral amputations at shoulder disarticulation level. The performance of various ECG artifact removal methods including high pass filtering, spike clipping, template subtracting, wavelet thresholding and adaptive filtering was presented. In particular, considering the clinical requirements and memory limitation of commercial prosthesis controllers, we further explored suitable means of ECG artifact removal for clinical application.

AB - We investigated elimination of electrocardiogram (ECG) artifacts from the myoelectric prosthesis control signals, taken from the reinnervated pectoralis muscles of a patient with bilateral amputations at shoulder disarticulation level. The performance of various ECG artifact removal methods including high pass filtering, spike clipping, template subtracting, wavelet thresholding and adaptive filtering was presented. In particular, considering the clinical requirements and memory limitation of commercial prosthesis controllers, we further explored suitable means of ECG artifact removal for clinical application.

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M3 - Conference contribution

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SN - 0780387406

SN - 9780780387409

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SP - 5276

EP - 5279

BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005

Y2 - 1 September 2005 through 4 September 2005

ER -

Ping Z, Lowery MM, Weir RF, Kuiken TA. Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 5276-5279. 1615670. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Elimination of ECG artifacts from myoelectric prosthesis control signals developed by targeted muscle reinnervation

Abstract

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ASJC Scopus subject areas

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