Gram-Schmidt M-Wave Canceller for the EMG Controlled FES

Hojoon YEOM  Youngcheol PARK  Hyoungro YOON  

IEICE TRANSACTIONS on Information and Systems   Vol.E88-D   No.9   pp.2213-2217
Publication Date: 2005/09/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.9.2213
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Rehabilitation Engineering and Assistive Technology
M-wave,  EMG controlled FES,  Gram-Schmidt,  FPGA implementation,  

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To use the voluntary electromyogram (EMG) as a control signal of the EMG controlled functional electrical stimulator (FES), it is required to reduce the stimulation artifact and non-voluntary contribution (M-wave). In this study, a Gram-Schmidt (GS) prediction error filter (PEF) that can effectively eliminates the M-wave from voluntary EMG is presented. Also, the presented GS PEF is implemented on the field the programmable gate array (FPGA) for real-time processing and the performance is tested with simulated and real signals. Experimental results showed that GS-PEF was effective in reducing M-wave and preserving voluntary EMG.