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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Bibliographic Details
Main Authors: Noman eNaseer, Farzan Majeed Noori, Nauman Khalid Qureshi, Keum-Shik eHong
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-05-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2016.00237/full