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Prediction of optimal facial electromyographic sensor configurations for human-machine interface control
Surface electromyography (sEMG) is a promising computer access method for individuals with motor impairments. However, optimal sensor placement is a tedious task requiring trial-and-error by an expert, particularly when recording from facial musculature likely to be spared in individuals with neurol...
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| Publicado no: | IEEE Trans Neural Syst Rehabil Eng |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6089655/ https://ncbi.nlm.nih.gov/pubmed/29994124 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNSRE.2018.2849202 |
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