Recognition of brain hemodynamic mental response for brain computer interface

Berdakh Abibullaev, Won Seok Kang, Seung Hyun Lee, Jinung An

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recent advances in neuroimaging demonstrate the potential use of functional near infrared spectroscopy (fNIRS) in the field of brain machine interface. An fNIRS uses light in the near infrared range to measure brain surface hemoglobin concentrations to determine a neural activity. The current study presents our empirical results in realizing fNIRS - BCI system. We analyze the hemodynamic responses that are acquired from 4 subjects' frontal cortex using 19-channel fNIRS recordings. A wavelet-neural network methodology is proposed in this study, in order to extract important neural features and to recognize the cognitive tasks. Experimental results demonstrate the potential application of fNIRS for BCI by confirming the best accuracy rate as high as 97% in recognizing the different levels of cognitive tasks. Particularly, we demonstrate efficient way of extracting cognitive neural features by wavelet pre-processing and optimal neural network classifier.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages2238-2243
Number of pages6
Publication statusPublished - Dec 1 2010
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
Duration: Oct 27 2010Oct 30 2010

Publication series

NameICCAS 2010 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
CountryKorea, Republic of
CityGyeonggi-do
Period10/27/1010/30/10

Keywords

  • Artificial neural networks
  • BCI
  • Brain hemodynamics
  • Wavelet transforms
  • fNIRS

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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  • Cite this

    Abibullaev, B., Kang, W. S., Lee, S. H., & An, J. (2010). Recognition of brain hemodynamic mental response for brain computer interface. In ICCAS 2010 - International Conference on Control, Automation and Systems (pp. 2238-2243). [5669841] (ICCAS 2010 - International Conference on Control, Automation and Systems).