Title | ||
---|---|---|
Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Changing Interelectrode Distance and Electrode Configuration. |
Abstract | ||
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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. Young | 1 | 94 | 10.55 |
Levi J Hargrove | 2 | 438 | 42.47 |
Todd A. Kuiken | 3 | 132 | 9.41 |