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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Detalhes bibliográficos
Publicado no:Front Hum Neurosci
Main Authors: Naseer, Noman, Noori, Farzan M., Qureshi, Nauman K., Hong, Keum-Shik
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2016
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4879140/
https://ncbi.nlm.nih.gov/pubmed/27252637
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2016.00237
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