Paper Abstract and Keywords |
Presentation |
2015-03-03 10:45
[Poster Presentation]
Analysis of Apnea Hypopnea Index (AHI) Prediction Model by Breath sounds Yuki Kashina, Nichito Nakata, Naoto Sakata, Hirofumi Nakajima (Kogakuin Univ.), Yasuhiro Yamaguchi (UTokyo) EA2014-113 SIP2014-154 SP2014-176 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Sleep Apnea Syndrome (SAS) is a type of sleep disorder that causes behavioral effects such as the daytime sleepiness. As it has been reported that the daytime sleepiness may lead to a car accident at the end, the early detection of the disorder is desirable. The previous report by the authors proposed a prediction model for Apnea Hypopnea Index (AHI) that is a diagnostic criterion for SAS. The model predicts AHI based on breath sounds during sleep. However, as the evaluations for the model and errors were performed among few subjects, it would be insufficient as a practical use in terms of the number of subjects. This report presents an investigation for the effectiveness of noises during sleep on prediction accuracy. As a result, it was found that the prediction accuracy was relatively stable even if the noises during sleep were around. Moreover, the results indicated the high generalization ability of the proposed model and that the prediction errors among the subjects were lower than 3%. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sleep Apnea Syndrome / Apnea Hypopnea Index / Breath sounds / Snoring sounds / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 473, EA2014-113, pp. 225-230, March 2015. |
Paper # |
EA2014-113 |
Date of Issue |
2015-02-23 (EA, SIP, SP) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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EA2014-113 SIP2014-154 SP2014-176 |
Conference Information |
Committee |
SIP EA SP |
Conference Date |
2015-03-02 - 2015-03-03 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
EA |
Conference Code |
2015-03-SIP-EA-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Analysis of Apnea Hypopnea Index (AHI) Prediction Model by Breath sounds |
Sub Title (in English) |
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Keyword(1) |
Sleep Apnea Syndrome |
Keyword(2) |
Apnea Hypopnea Index |
Keyword(3) |
Breath sounds |
Keyword(4) |
Snoring sounds |
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1st Author's Name |
Yuki Kashina |
1st Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
2nd Author's Name |
Nichito Nakata |
2nd Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
3rd Author's Name |
Naoto Sakata |
3rd Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
4th Author's Name |
Hirofumi Nakajima |
4th Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
5th Author's Name |
Yasuhiro Yamaguchi |
5th Author's Affiliation |
The University of tokyo (UTokyo) |
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Speaker |
Author-1 |
Date Time |
2015-03-03 10:45:00 |
Presentation Time |
90 minutes |
Registration for |
EA |
Paper # |
EA2014-113, SIP2014-154, SP2014-176 |
Volume (vol) |
vol.114 |
Number (no) |
no.473(EA), no.474(SIP), no.475(SP) |
Page |
pp.225-230 |
#Pages |
6 |
Date of Issue |
2015-02-23 (EA, SIP, SP) |
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