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Presentation 2020-11-04 15:00
Frequency Analysis of Bio-vibration Data based on Difference of Results Learned by Random Forests between SAS/non-SAS Subjects
Iko Nakari, Keiki Takadama (UEC) MICT2020-17 MI2020-43
Abstract (in Japanese) (See Japanese page) 
(in English) This paper described a frequency analysis of bio-vibration data obtained from mat sensor with sleep apnea syndrome (SAS) subjects and non-SAS subjects based on the differences. The differences were discovered through the comparison of the feature importance of each frequency calculated from Random Forests trained with the power spectrum of bio-vibration data during WAKE (shallow sleep) and non-WAKE. From the result, the following implications have been revealed: the bio-vibration data during WAKE show that (1) the density of the power spectrum at the time of WAKE is generally larger in non-SAS subjects because of the WAKE with large body movements, and (2) SAS subjects have the tendency to increase the density of the power spectrum around 0.3Hz, which may be a disruption of breathing due to the disturbance of the autonomic nervous system caused by apnea/hypopnea. Based on future findings, we can expect to use this as the novel indicator of SAS.
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Reference Info. IEICE Tech. Rep., vol. 120, no. 219, MICT2020-17, pp. 48-53, Nov. 2020.
Paper # MICT2020-17 
Date of Issue 2020-10-28 (MICT, MI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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 MICT MI  
Conference Date 2020-11-04 - 2020-11-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology 
Paper Information
Registration To MICT 
Conference Code 2020-11-MICT-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Frequency Analysis of Bio-vibration Data based on Difference of Results Learned by Random Forests between SAS/non-SAS Subjects 
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1st Author's Name Iko Nakari  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Keiki Takadama  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Date Time 2020-11-04 15:00:00 
Presentation Time 20 minutes 
Registration for MICT 
Paper # MICT2020-17, MI2020-43 
Volume (vol) vol.120 
Number (no) no.219(MICT), no.220(MI) 
Page pp.48-53 
#Pages
Date of Issue 2020-10-28 (MICT, MI) 


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