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| Presentation | 2022-03-03 15:30 EEG style transfer for sleep stage scoring using deep learning Naoki Omiya (Univ. of Tsukuba), Kazumasa Horie (CCS), Hiroyuki Kitagawa (IIIS)  NC2021-66 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Sleep stage scoring is a clinical inspection to identify in which sleep stages the patients are from their biological signals. Several automated sleep stage scoring systems based on machine learning have been proposed, but their accuracies are quite low in some cases; the difference in the biological signals caused by noise or individual differences leads to decrease the scoring accuracy of these systems. In this study, we developed a signal transformation technique based on the style transfer to reduce the biological signal components that lead low scoring accuracies and to enhance the components that are necessary for sleep stage scoring. Our method suppressed some signal components unnecessary for stage scoring, but didn't improve the performance of the existing stage scoring model. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Biological signal processing / Autoencoder / Sleep stage scoring / Removal of noise and individual differences / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 390, NC2021-66, pp. 106-111, March 2022. | |
| Paper # | NC2021-66 | |
| Date of Issue | 2022-02-23 (NC) | |
| 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 | NC2021-66 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2022-03-02 - 2022-03-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2022-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | EEG style transfer for sleep stage scoring using deep learning |
| Sub Title (in English) | |
| Keyword(1) | Biological signal processing |
| Keyword(2) | Autoencoder |
| Keyword(3) | Sleep stage scoring |
| Keyword(4) | Removal of noise and individual differences |
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| 1st Author's Name | Naoki Omiya |
| 1st Author's Affiliation | University of Tsukuba (Univ. of Tsukuba) |
| 2nd Author's Name | Kazumasa Horie |
| 2nd Author's Affiliation | Center for Computational Sciences (CCS) |
| 3rd Author's Name | Hiroyuki Kitagawa |
| 3rd Author's Affiliation | International Institute for Integrative Sleep Medicine (IIIS) |
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| Speaker | Author-1 |
| Date Time | 2022-03-03 15:30:00 |
| Presentation Time | 15 minutes |
| Registration for | NC |
| Paper # | NC2021-66 |
| Volume (vol) | vol.121 |
| Number (no) | no.390 |
| Page | pp.106-111 |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (NC) |
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