Classification of brain hemodynamic signals arising from visual action observation tasks for brain-computer interfaces: A functional near-infrared spectroscopy study

Berdakh Abibullaev, Jinung An, Sang Hyeon Jin, Jeon Il Moon

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A brain-computer interface (BCI) is a way of translating an individuals' thoughts to control a computer or an external mechanical device. Studying brain activities in a reproducible manner, this study explores the possibility of using real-time functional-near infrared spectroscopy (fNIRS) to detect brain hemodynamic features for BCI commands. Sixteen channel brain activities associated with two distinct mental tasks were measured from seven healthy subjects. The tasks represented neural activities arising from a visual observation of a motor action related to hand movements of the subjects. Sensitive signatures of task relevant neural activities were further extracted from hemodynamic signals in the prefrontal cortex of the brain, and subsequently were translated into pre-determined computer commands using a set of algorithms. The decoded commands allowed volunteer subjects to control an external device in real-time through their mental intentions. The obtained results demonstrate the potential of the current study as an alternative fNIRS-BCI paradigm.

Original languageEnglish
Pages (from-to)320-328
Number of pages9
JournalMeasurement: Journal of the International Measurement Confederation
Volume49
Issue number1
DOIs
Publication statusPublished - Mar 2014

Keywords

  • Action observation tasks
  • Brain hemodynamic signals
  • Brain-computer interfaces
  • Functional near-infrared spectroscopy
  • PCA
  • SVM

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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