Presentation 2015-07-22
Can Recurrence Plots visualize task period in noisy NIRS data?
Masako Sugai, Masaharu Adachi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) NIRS (Near infra-red spectroscopy) is a spectroscopic device with which the brain activity can be measured non-invasively and low-restrictedly. Measurements using NIRS are excellent in versatility, however, the obtained data include two unknown constants and are often contaminated easily by various kinds of noise. In this study, recurrence plots were adopted to discriminate the task period from the pre-task period. Furthermore, the histograms based on recurrence plots revealed the significant statistical difference between task period and pre-task period. Therefore, recurrence plots told us not only the apparent difference but also the statistical difference of the hidden structure in noisy NIRS data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) NIRS(Near infra-red spectroscopy) / Recurrence plot
Paper # NLP2015-76
Date of Issue 2015-07-14 (NLP)

Conference Information
Committee NLP
Conference Date 2015/7/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Bibai Onsen Yu-rinkan
Topics (in Japanese) (See Japanese page)
Topics (in English) Nonlinear Problems, etc.
Chair Kenya Jinno(Nippon Inst. of Tech.)
Vice Chair Naoto Fujisaka(Hiroshima City Univ.)
Secretary Naoto Fujisaka(Tokyo Univ. of Science)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Hiroyuki Asahara(Okayama Univ. of Science)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Can Recurrence Plots visualize task period in noisy NIRS data?
Sub Title (in English)
Keyword(1) NIRS(Near infra-red spectroscopy)
Keyword(2) Recurrence plot
1st Author's Name Masako Sugai
1st Author's Affiliation Tokyo Denki University(TDU)
2nd Author's Name Masaharu Adachi
2nd Author's Affiliation Tokyo Denki University(TDU)
Date 2015-07-22
Paper # NLP2015-76
Volume (vol) vol.115
Number (no) NLP-150
Page pp.pp.47-52(NLP),
#Pages 6
Date of Issue 2015-07-14 (NLP)