Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors

This study demonstrates the feasibility of detecting motor intent from brain activity of chronic stroke patients using an asynchronous electroencephalography (EEG)-based brain machine interface (BMI). Intent was inferred from movement related cortical potentials (MRCPs) measured over an optimized se...

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Detalles Bibliográficos
Autores principales: Bhagat, Nikunj A., Venkatakrishnan, Anusha, Abibullaev, Berdakh, Artz, Edward J., Yozbatiran, Nuray, Blank, Amy A., French, James, Karmonik, Christof, Grossman, Robert G., O'Malley, Marcia K., Francisco, Gerard E., Contreras-Vidal, Jose L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815250/
https://www.ncbi.nlm.nih.gov/pubmed/27065787
http://dx.doi.org/10.3389/fnins.2016.00122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815250/
https://www.ncbi.nlm.nih.gov/pubmed/27065787
http://dx.doi.org/10.3389/fnins.2016.00122

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