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...

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Detalles Bibliográficos
Autores principales: Shafiul Hasan, S. M., Siddiquee, Masudur R., Atri, Roozbeh, Ramon, Rodrigo, Marquez, J. Sebastian, Bai, Ou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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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