Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 임창환 | - |
dc.date.accessioned | 2018-03-19T05:37:18Z | - |
dc.date.available | 2018-03-19T05:37:18Z | - |
dc.date.issued | 2014-07 | - |
dc.identifier.citation | biomedical optics,v.19 no.7, 10pages | en_US |
dc.identifier.issn | 1083-3668 | - |
dc.identifier.uri | https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics?SSO=1 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/48937 | - |
dc.description.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) | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea Government (MSIP) (Nos. NRF-2012R1A2A2A03045395 and NRF-2011-0027859). | en_US |
dc.language.iso | en | en_US |
dc.publisher | SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS | en_US |
dc.subject | mental task classification | en_US |
dc.subject | brain-computer interface | en_US |
dc.subject | near-infrared spectroscopy | en_US |
dc.subject | binary communication | en_US |
dc.subject | locked-in syndrome | en_US |
dc.title | Evaluation of various mental task combinations for near-infrared spectroscopy-based brain-computer interfaces | en_US |
dc.type | Article | en_US |
dc.relation.no | 7 | - |
dc.relation.volume | 19 | - |
dc.identifier.doi | 10.1117/1.JBO.19.7.077005 | - |
dc.relation.page | 1-9 | - |
dc.relation.journal | JOURNAL OF BIOMEDICAL OPTICS | - |
dc.contributor.googleauthor | Hwang, Han-Jeong | - |
dc.contributor.googleauthor | Lim, Jeong-Hwan | - |
dc.contributor.googleauthor | Kim, Do-Won | - |
dc.contributor.googleauthor | Im, Chang-Hwan | - |
dc.relation.code | 2014032529 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | ich | - |
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