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