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Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces.

Authors
  • Hwang, Han-Jeong
  • Lim, Jeong-Hwan
  • Kim, Do-Won
  • Im, Chang-Hwan
Type
Published Article
Journal
Journal of Biomedical Optics
Publisher
SPIE - International Society for Optical Engineering
Publication Date
Jan 01, 2014
Volume
19
Issue
7
Pages
77005–77005
Identifiers
DOI: 10.1117/1.JBO.19.7.077005
PMID: 25036216
Source
Medline
License
Unknown

Abstract

A number of recent studies have demonstrated that near-infrared spectroscopy (NIRS) is a promisingneuroimaging modality for brain-computer interfaces (BCIs). So far, most NIRS-based BCI studies have focusedon enhancing the accuracy of the classification of different mental tasks. In the present study, we evaluated theperformances of a variety of mental task combinations in order to determine the mental task pairs that are bestsuited for customized NIRS-based BCIs. To this end, we recorded event-related hemodynamic responses whileseven participants performed eight different mental tasks. Classification accuracies were then estimated for allpossible pairs of the eight mental tasks (8C2 = 28). Based on this analysis, mental task combinations with relatively high classification accuracies frequently included the following three mental tasks: “mental multiplication,” “mental rotation,” and “right-hand motor imagery.” Specifically, mental task combinations consisting of two of these three mental tasks showed the highest mean classification accuracies. It is expected that our results will be a useful reference to reduce the time needed for preliminary tests when discovering individual-specific mental task combinations.

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