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Partial Least Squares-discriminant Analysis for the Prediction of Hemodynamic Changes Using Near Infrared Spectroscopy

  • Seo, Youngwook (Department of Biomedical Engineering, Korea University) ;
  • Lee, Seungduk (Department of Biomicrosystem Engineering, Korea University) ;
  • Koh, Dalkwon (Department of Biomedical Engineering, Korea University) ;
  • Kim, Beop-Min (Department of Biomedical Engineering, Korea University)
  • Received : 2011.10.12
  • Accepted : 2011.12.26
  • Published : 2012.03.25

Abstract

Using continuous wave near-infrared spectroscopy, we measured time-resolved concentration changes of oxy-hemoglobin and deoxy-hemoglobin from the primary motor cortex following finger tapping tasks. These data were processed using partial least squares-discriminant analysis (PLS-DA) to develop a prediction model for a brain-computer interface. The tasks were composed of a series of finger tapping for 15 sec and relaxation for 45 sec. The location of the motor cortex was confirmed by the anti-phasic behavior of the oxy- and deoxy-hemoglobin changes. The results were compared with those obtained using the hidden Markov model (HMM) which has been known to produce the best prediction model. Our data imply that PLS-DA makes better judgments in determining the onset of the events than HMM.

Keywords

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