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Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application

In this study, we determine the optimal feature-combination for classification of functional near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two-class brain-computer interface (BCI). Using a multi-channel continuous-wave imaging system, mental arithmetic sign...

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Detalles Bibliográficos
Autores principales:	Naseer, Noman, Noori, Farzan M., Qureshi, Nauman K., Hong, Keum-Shik
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/PMC4879140/ https://www.ncbi.nlm.nih.gov/pubmed/27252637 http://dx.doi.org/10.3389/fnhum.2016.00237

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