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Latent Factors Limiting the Performance of sEMG-Interfaces
Recent advances in recording and real-time analysis of surface electromyographic signals (sEMG) have fostered the use of sEMG human–machine interfaces for controlling personal computers, prostheses of upper limbs, and exoskeletons among others. Despite a relatively high mean performance, sEMG-interf...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5948532/ https://ncbi.nlm.nih.gov/pubmed/29642410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18041122 |
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