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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 9 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | REVIEW OF SCIENTIFIC INSTRUMENTS | - |
dc.citation.volume | 84 | - |
dc.contributor.author | Santosa, Hendrik | - |
dc.contributor.author | Hong, Melissa Jiyoun | - |
dc.contributor.author | Kim, Sung-Phil | - |
dc.contributor.author | Hong, Keum-Shik | - |
dc.date.accessioned | 2023-12-22T03:41:54Z | - |
dc.date.available | 2023-12-22T03:41:54Z | - |
dc.date.created | 2014-12-19 | - |
dc.date.issued | 2013-07 | - |
dc.description.abstract | Functional near-infrared spectroscopy (fNIRS) is used to detect concentration changes of oxyhemoglobin and deoxy-hemoglobin in the human brain. The main difficulty entailed in the analysis of fNIRS signals is the fact that the hemodynamic response to a specific neuronal activation is contaminated by physiological and instrument noises, motion artifacts, and other interferences. This paper proposes independent component analysis (ICA) as a means of identifying the original hemodynamic response in the presence of noises. The original hemodynamic response was reconstructed using the primary independent component (IC) and other, less-weighting-coefficient ICs. In order to generate experimental brain stimuli, arithmetic tasks were administered to eight volunteer subjects. The t-value of the reconstructed hemodynamic response was improved by using the ICs found in the measured data. The best t-value out of 16 low-pass-filtered signals was 37, and that of the reconstructed one was 51. Also, the average t-value of the eight subjects' reconstructed signals was 40, whereas that of all of their low-pass-filtered signals was only 20. Overall, the results showed the applicability of the ICA-based method to noise-contamination reduction in brain mapping. | - |
dc.identifier.bibliographicCitation | REVIEW OF SCIENTIFIC INSTRUMENTS, v.84, no.7, pp.1 - 9 | - |
dc.identifier.doi | 10.1063/1.4812785 | - |
dc.identifier.issn | 0034-6748 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/9536 | - |
dc.identifier.wosid | 000322602200007 | - |
dc.language | 영어 | - |
dc.publisher | AMER INST PHYSICS | - |
dc.title | Noise reduction in functional near-infrared spectroscopy signals by independent component analysis | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | LOW-FREQUENCY OSCILLATIONS | - |
dc.subject.keywordPlus | CEREBRAL HEMODYNAMICS | - |
dc.subject.keywordPlus | BRAIN ACTIVITY | - |
dc.subject.keywordPlus | TIME-SERIES | - |
dc.subject.keywordPlus | ACTIVATION | - |
dc.subject.keywordPlus | FLUCTUATIONS | - |
dc.subject.keywordPlus | OXYGENATION | - |
dc.subject.keywordPlus | METABOLISM | - |
dc.subject.keywordPlus | ALGORITHMS | - |
dc.subject.keywordPlus | FNIRS | - |
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