DocumentCode
1551555
Title
The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift
Author
Young, Aaron J. ; Hargrove, Levi J. ; Kuiken, Todd A.
Author_Institution
Center for Bionic Med., Rehabilitation Inst. of Chicago, Chicago, IL, USA
Volume
58
Issue
9
fYear
2011
Firstpage
2537
Lastpage
2544
Abstract
Myoelectric pattern recognition systems for prosthesis control are often studied in controlled laboratory settings, but obstacles remain to be addressed before they are clinically viable. One important obstacle is the difficulty of maintaining system usability with socket misalignment. Misalignment inevitably occurs during prosthesis donning and doffing, producing a shift in electrode contact locations. We investigated how the size of the electrode detection surface and the placement of electrode poles (electrode orientation) affected system robustness with electrode shift. Electrodes oriented parallel to muscle fibers outperformed electrodes oriented perpendicular to muscle fibers in both shift and no-shift conditions (p <; 0.01). Another finding was the significant difference (p <; 0.01) in performance for the direction of electrode shift. Shifts perpendicular to the muscle fibers reduced classification accuracy and real-time controllability much more than shifts parallel to the muscle fibers. Increasing the size of the electrode detection surface was found to help reduce classification accuracy sensitivity to electrode shifts in a direction perpendicular to the muscle fibers but did not improve the real-time controllability of the pattern recognition system. One clinically important result was that a combination of longitudinal and transverse electrodes yielded high controllability with and without electrode shift using only four physical electrode pole locations.
Keywords
biomedical electrodes; cellular biophysics; electromyography; fibres; medical control systems; pattern recognition; electrode contact locations; electrode detection surface; electrode shift; electrode size effects; muscle fibers; myoelectric pattern recognition systems; pattern recognition system; physical electrode pole locations; prosthesis control; prosthesis doffing; prosthesis donning; real-time controllability; sensitivity orientation; socket misalignment; Accuracy; Controllability; Electrodes; Electromyography; Materials; Muscles; Pattern recognition; Electrode shift; electromyography (EMG); pattern recognition; virtual reality prosthesis control; Adult; Artificial Limbs; Electrodes; Electromyography; Female; Humans; Male; Models, Biological; Muscle Fibers, Skeletal; Pattern Recognition, Automated; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2011.2159216
Filename
5872014
Link To Document