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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nakagome, Sho, Luu, Trieu Phat, He, Yongtian, Ravindran, Akshay Sujatha, Contreras-Vidal, Jose L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
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

Internet

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

Ejemplares similares