Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks

Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for neuroprosthetics and assistive devices. Here we aim to investigate methods to combine Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS) in an asynchronous Sensory Motor rhythm (SMR)-based BC...

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Detalles Bibliográficos
Autores principales: Buccino, Alessio Paolo, Keles, Hasan Onur, Omurtag, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701662/
https://www.ncbi.nlm.nih.gov/pubmed/26730580
http://dx.doi.org/10.1371/journal.pone.0146610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701662/
https://www.ncbi.nlm.nih.gov/pubmed/26730580
http://dx.doi.org/10.1371/journal.pone.0146610

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