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Presentation 2011-10-13 15:40
Sleep stage automatic classification with single channel sleep EEG signals
Hideo Nakamura (Osaka Ele. Com. Univ.), Kaori Kashiwagi, Masaki Yoshida (SleepWell) MBE2011-56
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this study is to examine that automatic classification algorithm with the single channel EEG signal is compared with sleep stage classification with polysomnography (PSG) by the clinical laboratory technician. PSG which is composed of sleep EEG, EOG, EMG signals and respirometry, is frequently used to measure quality of sleep for finding sleep impairments in hospital. For the purpose of evaluate long term sleep condition in ordinary lifestyle, we have developed autonomic classification of sleep stage with just only single channel EEG signal which is low electric supply and light weight and easy-to-use. Our results show that the full automatic classification algorithm could have the corresponding rate 81.9% as the maximum and 63.1% as the totally average to 14 subject sleep EEG signals as compared with the classifications with PSG. It is suggested that the corresponding rate score with automatic one is higher because corresponding rate scores with a technician to single channel EEG signal are only at most about 95% and the average under 84%. However, several EEG signals with lower corresponding rates were also there. The additional standards, c.f. each of characteristic waveforms and predictive information between epochs to classify them, should be included in the algorithm. In conclusion, in most cases, our results show that our developed algorithms have the capability to support assessing sleep stages as a screening diagnosis for sleep quality.
Keyword (in Japanese) (See Japanese page) 
(in English) Sleep EEG / single channel / sleep stage / automatic classification / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 234, MBE2011-56, pp. 33-36, Oct. 2011.
Paper # MBE2011-56 
Date of Issue 2011-10-06 (MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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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Conference Information
Committee MBE  
Conference Date 2011-10-13 - 2011-10-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Electro-Communication University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2011-10-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sleep stage automatic classification with single channel sleep EEG signals 
Sub Title (in English)  
Keyword(1) Sleep EEG  
Keyword(2) single channel  
Keyword(3) sleep stage  
Keyword(4) automatic classification  
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1st Author's Name Hideo Nakamura  
1st Author's Affiliation Osaka Electro-Communication University (Osaka Ele. Com. Univ.)
2nd Author's Name Kaori Kashiwagi  
2nd Author's Affiliation SleepWell Co,.Ltd. (SleepWell)
3rd Author's Name Masaki Yoshida  
3rd Author's Affiliation SleepWell Co,.Ltd. (SleepWell)
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Speaker Author-1 
Date Time 2011-10-13 15:40:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2011-56 
Volume (vol) vol.111 
Number (no) no.234 
Page pp.33-36 
#Pages
Date of Issue 2011-10-06 (MBE) 


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