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

doi:10.1117/1.JBO.19.7.077005

18 July 2014 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

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Journal of Biomedical Optics, Vol. 19, Issue 7, 077005 (July 2014). https://doi.org/10.1117/1.JBO.19.7.077005

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.

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Han-Jeong Hwang, Jeong-Hwan Lim, Do-Won Kim, and Chang-Hwan Im "Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces," Journal of Biomedical Optics 19(7), 077005 (18 July 2014). https://doi.org/10.1117/1.JBO.19.7.077005

Published: 18 July 2014

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