Partial leasts squares - discriminant analysis for the prediction of hemodynamic changes using near infrared spectroscopy

Youngwook Seo, Seungduk Lee, Dalkwon Koh, Beop Min Kim

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)57-62
Number of pages6
JournalJournal of the Optical Society of Korea
Volume16
Issue number1
DOIs
Publication statusPublished - 2012 Mar 1

Keywords

  • Brain-computer interface
  • Hidden markov model
  • Near-infrared spectroscopy
  • Partial least squares-discriminant analysis

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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