Truong Quang Dang Khoa and Masahiro Nakagawa
Functional Near Infrared Spectroscope for Cognition Brain Tasks by Wavelets Analysis and Neural Networks
89 - 94
2008
2
3
International Journal of Psychological and Behavioral Sciences
https://publications.waset.org/pdf/14047
https://publications.waset.org/vol/15
World Academy of Science, Engineering and Technology
Brain Computer Interface (BCI) has been recently
increased in research. Functional Near Infrared Spectroscope (fNIRs)
is one the latest technologies which utilize light in the nearinfrared
range to determine brain activities. Because near infrared technology
allows design of safe, portable, wearable, noninvasive and wireless
qualities monitoring systems, fNIRs monitoring of brain
hemodynamics can be value in helping to understand brain tasks. In
this paper, we present results of fNIRs signal analysis indicating that
there exist distinct patterns of hemodynamic responses which
recognize brain tasks toward developing a BCI. We applied two
different mathematics tools separately, Wavelets analysis for
preprocessing as signal filters and feature extractions and Neural
networks for cognition brain tasks as a classification module. We
also discuss and compare with other methods while our proposals
perform better with an average accuracy of 99.9 for classification.
Open Science Index 15, 2008