Title :
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
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;
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
DOI :
10.1109/IEMBS.2005.1615670
