title: Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces.
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.
authors.affiliation: Hanyang University, Department of Biomedical Engineering, Seoul 133-791, Republic of KoreabBerlin Institute of Technology, Machine Learning Group, Marchstrasse 23, Berlin 10587, Germany.
authors.forename: Han-Jeong
authors.initials: HJ
authors.lastname: Hwang
authors.affiliation: Hanyang University, Department of Biomedical Engineering, Seoul 133-791, Republic of Korea.
authors.forename: Jeong-Hwan
authors.initials: JH
authors.lastname: Lim
authors.affiliation: Hanyang University, Department of Biomedical Engineering, Seoul 133-791, Republic of Korea.
authors.forename: Do-Won
authors.initials: DW
authors.lastname: Kim
authors.affiliation: Hanyang University, Department of Biomedical Engineering, Seoul 133-791, Republic of Korea.
authors.forename: Chang-Hwan
authors.initials: CH
authors.lastname: Im
mesh_terms: D000328:Adult; D001921:Brain / Q000098:blood supply; D001931:Brain Mapping / Q000295:instrumentation / Q000379:methods*; D062207:Brain-Computer Interfaces; D005260:Female; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D008297:Male; D011597:Psychomotor Performance / Q000502:physiology*; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation / Q000379:methods*; D055815:Young Adult