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Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations from Extreme Learning
Myoelectric signals can be used to predict the intended movements of an amputee for prosthesis control. However, untrained effects like limb position changes influence myoelectric signal characteristics, hindering the ability of pattern recognition algorithms to discriminate among motion classes. De...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | IEEE Trans Biomed Eng |
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| Κύριοι συγγραφείς: | , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5926206/ https://ncbi.nlm.nih.gov/pubmed/28650804 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2017.2719400 |
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