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High-Yield Decomposition of Surface EMG Signals
OBJECTIVE: Automatic decomposition of surface Electromyographic (sEMG) signals into their constituent motor unit action potential trains (MUAPTs). METHODS: A small five-pin sensor provides four channels of sEMG signals that are in turn processed by an enhanced artificial intelligence algorithm evolv...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2932793/ https://ncbi.nlm.nih.gov/pubmed/20430694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinph.2009.11.092 |
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