Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole electroencephalography (EEG) signal to control walking rehabilitation devices is currently not viable in clinical settings, due to its unreliability. Hybrid interfaces (hHMIs) represent a very recent solution t...

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Detalles Bibliográficos
Autores principales: Tortora, Stefano, Tonin, Luca, Chisari, Carmelo, Micera, Silvestro, Menegatti, Emanuele, Artoni, Fiorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705173/
https://www.ncbi.nlm.nih.gov/pubmed/33281593
http://dx.doi.org/10.3389/fnbot.2020.582728

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705173/
https://www.ncbi.nlm.nih.gov/pubmed/33281593
http://dx.doi.org/10.3389/fnbot.2020.582728

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