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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 |
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| 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. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | / / / / / / / | |
| 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 | 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 | MICT2020-17 MI2020-43 |
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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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| Speaker | Author-1 |
| 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 | 6 |
| Date of Issue | 2020-10-28 (MICT, MI) |
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