Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain‐computer interface

Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery... •A CSP-based BCI algorithm was implemented for classifying fNIRS recorded motor imagery tasks.•Significantly improved classification accuracies were obtained by using CSP, compared to conventional channel-wise methods.•The often ignored fNIRS signal variance feature showed an effective and independent contribution to BCI classification. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroscience Letters Elsevier

Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain‐computer interface

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0304-3940
D.O.I.
10.1016/j.neulet.2017.06.044
Publisher site
See Article on Publisher Site

Abstract

•A CSP-based BCI algorithm was implemented for classifying fNIRS recorded motor imagery tasks.•Significantly improved classification accuracies were obtained by using CSP, compared to conventional channel-wise methods.•The often ignored fNIRS signal variance feature showed an effective and independent contribution to BCI classification.

Journal

Neuroscience LettersElsevier

Published: Aug 10, 2017

References

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