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Cardinality as a highly descriptive feature in myoelectric pattern recognition for decoding motor volition
Accurate descriptors of muscular activity play an important role in clinical practice and rehabilitation research. Such descriptors are features of myoelectric signals extracted from sliding time windows. A wide variety of myoelectric features have been used as inputs to pattern recognition algorith...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625080/ https://www.ncbi.nlm.nih.gov/pubmed/26578873 http://dx.doi.org/10.3389/fnins.2015.00416 |