Elimination of ECG Artifacts from Myoelectric Prosthesis Control Signals Developed by Targeted Muscle Reinnervation

Author

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

Author_Institution

Neural Eng. Center for Artificial Limbs, Rehabilitation Inst. of Chicago, IL

fYear

2006

Firstpage

5276

Lastpage

5279

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

Keywords

adaptive filters; electrocardiography; electromyography; high-pass filters; medical control systems; medical signal processing; prosthetics; wavelet transforms; ECG artifact removal; adaptive filtering; bilateral amputations; electrocardiogram; high pass filtering; myoelectric prosthesis control signals; prosthesis controllers; reinnervated pectoralis muscles; shoulder disarticulation level; spike clipping; targeted muscle reinnervation; template subtracting; wavelet thresholding; Elbow; Electrocardiography; Electromyography; Filtering; Muscles; Neural prosthesis; Prosthetics; Signal processing; Surgery; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1615670

Filename

1615670