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...

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Bibliografiset tiedot
Julkaisussa:IEEE Trans Biomed Eng
Päätekijät: Betthauser, Joseph L., Hunt, Christopher L., Osborn, Luke E., Masters, Matthew R., Lévay, György, Kaliki, Rahul R., Thakor, Nitish V.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2017
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Article
Linkit: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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