Partial Least Squares-discriminant Analysis for the Prediction of Hemodynamic Changes Using Near Infrared Spectroscopy
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Youngwook | - |
dc.contributor.author | Lee, Seungduk | - |
dc.contributor.author | Koh, Dalkwon | - |
dc.contributor.author | Kim, Beop-Min | - |
dc.date.accessioned | 2021-09-06T08:31:44Z | - |
dc.date.available | 2021-09-06T08:31:44Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2012-03 | - |
dc.identifier.issn | 1226-4776 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/105409 | - |
dc.description.abstract | Using continuous wave near-infrared spectroscopy, we measured time-resolved concentration changes of oxy-hemoglobin and deoxy-hemoglobin from the primary motor cortex following finger tapping tasks. These data were processed using partial least squares-discriminant analysis (PLS-DA) to develop a prediction model for a brain-computer interface. The tasks were composed of a series of finger tapping for 15 sec and relaxation for 45 sec. The location of the motor cortex was confirmed by the anti-phasic behavior of the oxy- and deoxy-hemoglobin changes. The results were compared with those obtained using the hidden Markov model (HMM) which has been known to produce the best prediction model. Our data imply that PLS-DA makes better judgments in determining the onset of the events than HMM. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | OPTICAL SOC KOREA | - |
dc.subject | BRAIN-COMPUTER INTERFACE | - |
dc.subject | HIDDEN MARKOV-MODELS | - |
dc.subject | CLASSIFICATION | - |
dc.subject | SIGNALS | - |
dc.subject | NIRS | - |
dc.subject | TUTORIAL | - |
dc.subject | SYSTEM | - |
dc.subject | FMRI | - |
dc.title | Partial Least Squares-discriminant Analysis for the Prediction of Hemodynamic Changes Using Near Infrared Spectroscopy | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Beop-Min | - |
dc.identifier.doi | 10.3807/JOSK.2012.16.1.057 | - |
dc.identifier.scopusid | 2-s2.0-84865251058 | - |
dc.identifier.wosid | 000302334300011 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE OPTICAL SOCIETY OF KOREA, v.16, no.1, pp.57 - 62 | - |
dc.relation.isPartOf | JOURNAL OF THE OPTICAL SOCIETY OF KOREA | - |
dc.citation.title | JOURNAL OF THE OPTICAL SOCIETY OF KOREA | - |
dc.citation.volume | 16 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 57 | - |
dc.citation.endPage | 62 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001642577 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Optics | - |
dc.relation.journalWebOfScienceCategory | Optics | - |
dc.subject.keywordPlus | BRAIN-COMPUTER INTERFACE | - |
dc.subject.keywordPlus | HIDDEN MARKOV-MODELS | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | SIGNALS | - |
dc.subject.keywordPlus | NIRS | - |
dc.subject.keywordPlus | TUTORIAL | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | FMRI | - |
dc.subject.keywordAuthor | Near-infrared spectroscopy | - |
dc.subject.keywordAuthor | Brain-computer interface | - |
dc.subject.keywordAuthor | Partial least squares-discriminant analysis | - |
dc.subject.keywordAuthor | Hidden Markov model | - |
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