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

Han Jeong Hwang, Jeong Hwan Lim, Do Won Kim, Chang Hwan Im

Research output: Contribution to journalArticle

44 Scopus citations

Abstract

A number of recent studies have demonstrated that near-infrared spectroscopy (NIRS) is a promising neuroimaging modality for brain-computer interfaces (BCIs). So far, most NIRS-based BCI studies have focused on enhancing the accuracy of the classification of different mental tasks. In the present study, we evaluated the performances of a variety of mental task combinations in order to determine the mental task pairs that are best suited for customized NIRS-based BCIs. To this end, we recorded event-related hemodynamic responses while seven participants performed eight different mental tasks. Classification accuracies were then estimated for all possible 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.

Original languageEnglish
Article number077005
JournalJournal of Biomedical Optics
Volume19
Issue number7
DOIs
StatePublished - 2014 Jul

Keywords

  • binary communication
  • brain-computer interface
  • locked-in syndrome.
  • mental task classification
  • near-infrared spectroscopy

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