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Paper Abstract and Keywords
Presentation 2021-11-05 13:45
Sleep Apnea Syndrome Detection based on Characteristics of Micro-WAKE during Sleep
Iko Nakari, Keiki Takadama (UEC) MICT2021-36 MI2021-34
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes the analysis of sequential sleep stage focused on previous and after of WAKE stage (shallow sleep) based on the differences which were discovered through the comparison of the feature importance of each frequency of power spectrum calculated from Random Forests (RF). The RF was trained with the power spectrum of bio-vibration data during WAKE/non-WAKE. From the result, the following implications have been revealed: (1) healthy subjects tend to have continuos WAKE; while (2) SAS subjects tend to have a higher frequency of sudden WAKE from deep sleep (i.e., micro-WAKE) than healthy subjects; (3) based on these differences between SAS subjects and healthy subjects, the designed conditions distinguish the nine SAS subjects from nine healthy subjects, and it is expected that the conditions have the potential of the novel index for SAS detection; and (4) micro-WAKE in SAS subjects is a negative chain that leads to unstable breathing, further increases in apnea/hypopnea events, and an increase in micro-WAKE.
Keyword (in Japanese) (See Japanese page) 
(in English) sleep apnea syndrome / non-contact / simple sensor / mat sensor / sleep / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 230, MICT2021-36, pp. 37-42, Nov. 2021.
Paper # MICT2021-36 
Date of Issue 2021-10-29 (MICT, MI) 
ISSN Online edition: ISSN 2432-6380
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)
Download PDF MICT2021-36 MI2021-34

Conference Information
Committee MI MICT  
Conference Date 2021-11-05 - 2021-11-05 
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 2021-11-MI-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sleep Apnea Syndrome Detection based on Characteristics of Micro-WAKE during Sleep 
Sub Title (in English)  
Keyword(1) sleep apnea syndrome  
Keyword(2) non-contact  
Keyword(3) simple sensor  
Keyword(4) mat sensor  
Keyword(5) sleep  
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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Speaker Author-1 
Date Time 2021-11-05 13:45:00 
Presentation Time 20 minutes 
Registration for MICT 
Paper # MICT2021-36, MI2021-34 
Volume (vol) vol.121 
Number (no) no.230(MICT), no.231(MI) 
Page pp.37-42 
Date of Issue 2021-10-29 (MICT, MI) 

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