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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Bibliografiska uppgifter
I publikationen:IEEE Trans Biomed Eng
Huvudupphovsmän: Betthauser, Joseph L., Hunt, Christopher L., Osborn, Luke E., Masters, Matthew R., Lévay, György, Kaliki, Rahul R., Thakor, Nitish V.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2017
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Article
Länkar: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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