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Recognizing brain activities by functional near-infrared spectroscope signal analysis
BACKGROUND: Functional Near-Infrared Spectroscope (fNIRs) is one of the latest technologies which utilize light in the near-infrared range to determine brain activities. Near-infrared technology allows design of safe, portable, wearable, non-invasive and wireless qualities monitoring systems. This i...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2474833/ https://www.ncbi.nlm.nih.gov/pubmed/18590571 http://dx.doi.org/10.1186/1753-4631-2-3 |
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author | Khoa, Truong Quang Dang Nakagawa, Masahiro |
author_facet | Khoa, Truong Quang Dang Nakagawa, Masahiro |
author_sort | Khoa, Truong Quang Dang |
collection | PubMed |
description | BACKGROUND: Functional Near-Infrared Spectroscope (fNIRs) is one of the latest technologies which utilize light in the near-infrared range to determine brain activities. Near-infrared technology allows design of safe, portable, wearable, non-invasive and wireless qualities monitoring systems. This indicates that fNIRs signal monitoring of brain hemodynamics can be value in helping to understand brain tasks. In this paper, we present results of fNIRs signal analysis to show that there exist distinct patterns of hemodynamic responses which recognize brain tasks toward developing a Brain-Computer interface. RESULTS: We applied Higuchi's fractal dimension algorithms to analyse irregular and complex characteristics of fNIRs signals, and then Wavelets transform is used to analysis for preprocessing as signal filters and feature extractions and Neural networks is a module for cognition brain tasks. CONCLUSION: Throughout two experiments, we have demonstrated the feasibility of fNIRs analysis to recognize human brain activities. |
format | Text |
id | pubmed-2474833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24748332008-07-21 Recognizing brain activities by functional near-infrared spectroscope signal analysis Khoa, Truong Quang Dang Nakagawa, Masahiro Nonlinear Biomed Phys Research BACKGROUND: Functional Near-Infrared Spectroscope (fNIRs) is one of the latest technologies which utilize light in the near-infrared range to determine brain activities. Near-infrared technology allows design of safe, portable, wearable, non-invasive and wireless qualities monitoring systems. This indicates that fNIRs signal monitoring of brain hemodynamics can be value in helping to understand brain tasks. In this paper, we present results of fNIRs signal analysis to show that there exist distinct patterns of hemodynamic responses which recognize brain tasks toward developing a Brain-Computer interface. RESULTS: We applied Higuchi's fractal dimension algorithms to analyse irregular and complex characteristics of fNIRs signals, and then Wavelets transform is used to analysis for preprocessing as signal filters and feature extractions and Neural networks is a module for cognition brain tasks. CONCLUSION: Throughout two experiments, we have demonstrated the feasibility of fNIRs analysis to recognize human brain activities. BioMed Central 2008-07-01 /pmc/articles/PMC2474833/ /pubmed/18590571 http://dx.doi.org/10.1186/1753-4631-2-3 Text en Copyright © 2008 Khoa and Nakagawa; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Khoa, Truong Quang Dang Nakagawa, Masahiro Recognizing brain activities by functional near-infrared spectroscope signal analysis |
title | Recognizing brain activities by functional near-infrared spectroscope signal analysis |
title_full | Recognizing brain activities by functional near-infrared spectroscope signal analysis |
title_fullStr | Recognizing brain activities by functional near-infrared spectroscope signal analysis |
title_full_unstemmed | Recognizing brain activities by functional near-infrared spectroscope signal analysis |
title_short | Recognizing brain activities by functional near-infrared spectroscope signal analysis |
title_sort | recognizing brain activities by functional near-infrared spectroscope signal analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2474833/ https://www.ncbi.nlm.nih.gov/pubmed/18590571 http://dx.doi.org/10.1186/1753-4631-2-3 |
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