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Prediction of the performance of artificial neural networks in mapping sEMG to finger joint angles via signal pre-investigation techniques
The inputs to the outputs of nonlinear systems can be modeled using machine and deep learning approaches, among which artificial neural networks (ANNs) are a promising option. However, noisy signals affect ANN modeling negatively; hence, it is important to investigate these signals prior to the mode...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132076/ https://www.ncbi.nlm.nih.gov/pubmed/32274431 http://dx.doi.org/10.1016/j.heliyon.2020.e03669 |