DocumentCode :
1217871
Title :
Independence of myoelectric control signals examined using a surface EMG model
Author :
Lowery, Madeleine M. ; Stoykov, Nikolay S. ; Kuiken, Todd A.
Author_Institution :
Res. Dept., Rehabilitation Inst. of Chicago, IL, USA
Volume :
50
Issue :
6
fYear :
2003
fDate :
6/1/2003 12:00:00 AM
Firstpage :
789
Lastpage :
793
Abstract :
The detection volume of the surface electromyographic (EMG) signal was explored using a finite-element model, to examine the feasibility of obtaining independent myoelectric control signals from regions of reinnervated muscle. The selectivity of the surface EMG signal was observed to decrease with increasing subcutaneous fat thickness. The results confirm that reducing the interelectrode distance or using double-differential electrodes can increase surface EMG selectivity in an inhomogeneous volume conductor. More focal control signals can be obtained, at the expense of increased variability, by using the mean square value, rather than the root mean square or average rectified value.
Keywords :
artificial limbs; electromyography; finite element analysis; medical control systems; physiological models; average rectified value; double-differential electrodes; inhomogeneous volume conductor; interelectrode distance; mean square value; more focal control signals; myoelectric control signals; myoelectric prostheses; reinnervated muscle regions; root mean square; surface EMG model; Analytical models; Biomedical engineering; Conductors; Crosstalk; Electrodes; Electromyography; Finite element methods; Muscles; Prosthetics; Skin; Action Potentials; Adipose Tissue; Arm; Artifacts; Bone and Bones; Electrodes; Electromagnetic Fields; Electromyography; Feasibility Studies; Finite Element Analysis; Humans; Models, Biological; Muscle Fibers; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2003.812152
Filename :
1203819
Link To Document :
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