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An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding
Previous studies of Brain Computer Interfaces (BCI) based on scalp electroencephalography (EEG) have demonstrated the feasibility of decoding kinematics for lower limb movements during walking. In this computational study, we investigated offline decoding analysis with different models and condition...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062700/ https://www.ncbi.nlm.nih.gov/pubmed/32152333 http://dx.doi.org/10.1038/s41598-020-60932-4 |