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Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
BACKGROUND: Identifying finger and wrist flexion based actions using a single channel surface electromyogram (sEMG) can lead to a number of applications such as sEMG based controllers for near elbow amputees, human computer interface (HCI) devices for elderly and for defence personnel. These are cur...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2984484/ https://www.ncbi.nlm.nih.gov/pubmed/20964863 http://dx.doi.org/10.1186/1743-0003-7-53 |