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Spatio-temporal feature extraction in sensory electroneurographic signals
The recording and analysis of peripheral neural signal can provide insight for various prosthetic and bioelectronics medicine applications. However, there are few studies that investigate how informative features can be extracted from population activity electroneurographic (ENG) signals. In this st...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289791/ https://www.ncbi.nlm.nih.gov/pubmed/35658682 http://dx.doi.org/10.1098/rsta.2021.0268 |