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Paper Abstract and Keywords
Presentation 2018-03-13 14:00
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 (NUT) MBE2017-85
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) functional near-infrared spectroscopy (fNIRS) / sliding-window analysis (SWA) / general linear model (GLM) / scalp-hemodynamics artifact / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 507, MBE2017-85, pp. 29-34, March 2018.
Paper # MBE2017-85 
Date of Issue 2018-03-06 (MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MBE NC  
Conference Date 2018-03-13 - 2018-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To MBE 
Conference Code 2018-03-MBE-NC 
Language Japanese 
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  
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Keyword(6)  
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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)
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Speaker Author-1 
Date Time 2018-03-13 14:00:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2017-85 
Volume (vol) vol.117 
Number (no) no.507 
Page pp.29-34 
#Pages 6 
Date of Issue 2018-03-06 (MBE) 

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