Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces
- Title
- Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces
- Author
- 임창환
- Keywords
- mental task classification; brain-computer interface; near-infrared spectroscopy; binary communication; locked-in syndrome
- Issue Date
- 2014-07
- Publisher
- SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
- Citation
- biomedical optics,v.19 no.7, 10pages
- 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 (C-8(2) = 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. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
- URI
- https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics?SSO=1http://hdl.handle.net/20.500.11754/48937
- ISSN
- 1083-3668
- DOI
- 10.1117/1.JBO.19.7.077005
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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