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| 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 |
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| 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 | |
| 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) | |
| Download PDF | MICT2021-36 MI2021-34 |
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| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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 |
| #Pages | 6 |
| Date of Issue | 2021-10-29 (MICT, MI) |
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