18 July 2014 Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces
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J. of Biomedical Optics, 19(7), 077005 (2014). doi:10.1117/1.JBO.19.7.077005
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.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Han-Jeong Hwang, Jeong-Hwan Lim, Do-Won Kim, 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

Brain-machine interfaces

Near infrared spectroscopy



Classification systems



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