| Paper Abstract and Keywords |
| Presentation |
2022-01-20 10:15
A Study on Automatic Detection of Sleep Spindle Waves Using BiLSTM Mitsuki Miyazoe, Takahiro Natori (Tokyo Univ Of Science), Mitsuo Hayashi (Hiroshima Univ.), Naoyuki Aikawa (Tokyo Univ Of Science) CAS2021-52 ICTSSL2021-29 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The detection of the appearance of sleep spindle waves is important for clarifying the detailed relationship between the quality and length of naps. In the past, LSTM was used as a regression analysis method to detect sleep spindle waves, but there were problems such as the need to manually determine the threshold value when detecting sleep spindle waves. In this paper, we propose a method for automatic detection of sleep spindle waves using BiLSTM. The proposed method automatically detects the sleep spindle waves by constructing a softmax layer and a classification output layer in the output layer of BiLSTM. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep Learning / BiLSTM / EEG / sleep spindle / time-domain analysis / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 121, no. 325, CAS2021-52, pp. 6-9, Jan. 2022. |
| Paper # |
CAS2021-52 |
| Date of Issue |
2022-01-13 (CAS, ICTSSL) |
| 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 |
CAS2021-52 ICTSSL2021-29 |
| Conference Information |
| Committee |
ICTSSL CAS |
| Conference Date |
2022-01-20 - 2022-01-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
CAS |
| Conference Code |
2022-01-ICTSSL-CAS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study on Automatic Detection of Sleep Spindle Waves Using BiLSTM |
| Sub Title (in English) |
|
| Keyword(1) |
Deep Learning |
| Keyword(2) |
BiLSTM |
| Keyword(3) |
EEG |
| Keyword(4) |
sleep spindle |
| Keyword(5) |
time-domain analysis |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Mitsuki Miyazoe |
| 1st Author's Affiliation |
Tokyo University Of Science (Tokyo Univ Of Science) |
| 2nd Author's Name |
Takahiro Natori |
| 2nd Author's Affiliation |
Tokyo University Of Science (Tokyo Univ Of Science) |
| 3rd Author's Name |
Mitsuo Hayashi |
| 3rd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
| 4th Author's Name |
Naoyuki Aikawa |
| 4th Author's Affiliation |
Tokyo University Of Science (Tokyo Univ Of Science) |
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| Speaker |
Author-1 |
| Date Time |
2022-01-20 10:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
CAS |
| Paper # |
CAS2021-52, ICTSSL2021-29 |
| Volume (vol) |
vol.121 |
| Number (no) |
no.325(CAS), no.326(ICTSSL) |
| Page |
pp.6-9 |
| #Pages |
4 |
| Date of Issue |
2022-01-13 (CAS, ICTSSL) |