A Characterization of Brain-Computer Interface Performance Trade-Offs Using Support Vector Machines and Deep Neural Networks to Decode Movement Intent

Laboratory demonstrations of brain-computer interface (BCI) systems show promise for reducing disability associated with paralysis by directly linking neural activity to the control of assistive devices. Surveys of potential users have revealed several key BCI performance criteria for clinical trans...

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Detalles Bibliográficos
Autores principales: Skomrock, Nicholas D., Schwemmer, Michael A., Ting, Jordyn E., Trivedi, Hemang R., Sharma, Gaurav, Bockbrader, Marcia A., Friedenberg, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232881/
https://www.ncbi.nlm.nih.gov/pubmed/30459542
http://dx.doi.org/10.3389/fnins.2018.00763

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232881/
https://www.ncbi.nlm.nih.gov/pubmed/30459542
http://dx.doi.org/10.3389/fnins.2018.00763

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