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Prediction of gait intention from pre-movement EEG signals: a feasibility study
BACKGROUND: Prediction of Gait intention from pre-movement Electroencephalography (EEG) signals is a vital step in developing a real-time Brain-computer Interface (BCI) for a proper neuro-rehabilitation system. In that respect, this paper investigates the feasibility of a fully predictive methodolog...
Autores principales: | Shafiul Hasan, S. M., Siddiquee, Masudur R., Atri, Roozbeh, Ramon, Rodrigo, Marquez, J. Sebastian, Bai, Ou |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164221/ https://www.ncbi.nlm.nih.gov/pubmed/32299460 http://dx.doi.org/10.1186/s12984-020-00675-5 |
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