Title
Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Changing Interelectrode Distance and Electrode Configuration.
Abstract
Pattern recognition of myoelectric signals for prosthesis control has been extensively studied in research settings and is close to clinical implementation. These systems are capable of intuitively controlling the next generation of dexterous prosthetic hands. However, pattern recognition systems perform poorly in the presence of electrode shift, defined as movement of surface electrodes with resp...
Year
DOI
Venue
2012
10.1109/TBME.2011.2177662
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Electrodes,Pattern recognition,Electromyography,Materials,Prosthetics,Muscles,Controllability
Autoregressive model,Perpendicular,Pattern recognition,Controllability,Computer science,Communication channel,Robustness (computer science),Electronic engineering,Artificial intelligence,Linear discriminant analysis,Classifier (linguistics),Electrode
Journal
Volume
Issue
ISSN
59
3
0018-9294
Citations 
PageRank 
References 
44
2.91
15
Authors
3
Name
Order
Citations
PageRank
Aaron J. Young19410.55
Levi J Hargrove243842.47
Todd A. Kuiken31329.41