| Presentation | 2018-03-13 Real-Time Artifact Reduction Using Sliding-Window Analysis for Real Data: A Functional Near-Infrared Spectroscopy Study Yuta Oda, Takanori Sato, Isao Nambu, Yasuhiro Wada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Functional near-infrared spectroscopy (fNIRS) is an effective neuroimaging technique, which facilitates its real-time application to a wide variety of fields. However, it is difficult to estimate true brain activity from fNIRS raw signals because of task-related scalp-hemodynamics, which is a specific artifact. To prevent the negative effects of scalp-hemodynamics in real-time, we proposed a real-time ShortPCA GLM (rt-ShortPCA GLM) with sliding-window analysis (SWA). At first, we executed an experiment to obtain the fNIRS real data which subjects performed movement tasks with their hands and fingers, then we applied the proposed method to the data. Adjusted $R^2$, which represents GLM model fitting, was significantly higher than the conventional methods. However, estimation error was not significant. By off-line analysis, it is suggested that the estimation error of the proposed method could be higher than the conventional method when the samples have the larger peak amplitude of cerebral-hemodynamics than scal-hemodynamcs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | functional near-infrared spectroscopy (fNIRS) / sliding-window analysis (SWA) / general linear model (GLM) / scalp-hemodynamics artifact |
| Paper # | MBE2017-85 |
| Date of Issue | 2018-03-06 (MBE) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2018/3/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, general |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Real-Time Artifact Reduction Using Sliding-Window Analysis for Real Data: A Functional Near-Infrared Spectroscopy Study |
| Sub Title (in English) | |
| Keyword(1) | functional near-infrared spectroscopy (fNIRS) |
| Keyword(2) | sliding-window analysis (SWA) |
| Keyword(3) | general linear model (GLM) |
| Keyword(4) | scalp-hemodynamics artifact |
| 1st Author's Name | Yuta Oda |
| 1st Author's Affiliation | Nagaoka University of Technology(NUT) |
| 2nd Author's Name | Takanori Sato |
| 2nd Author's Affiliation | Nagaoka University of Technology(NUT) |
| 3rd Author's Name | Isao Nambu |
| 3rd Author's Affiliation | Nagaoka University of Technology(NUT) |
| 4th Author's Name | Yasuhiro Wada |
| 4th Author's Affiliation | Nagaoka University of Technology(NUT) |
| Date | 2018-03-13 |
| Paper # | MBE2017-85 |
| Volume (vol) | vol.117 |
| Number (no) | MBE-507 |
| Page | pp.pp.29-34(MBE), |
| #Pages | 6 |
| Date of Issue | 2018-03-06 (MBE) |