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Paper Abstract and Keywords
Presentation 2016-01-21 15:30
Automatic detection of periodic discharges in the ICU EEG -- determination of threshold values based on database --
Chihiro Kitajima, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ.), Haruhiko Nohira (NKC), Yuichi Kubota (ACGH/TWMU) MBE2015-96
Abstract (in Japanese) (See Japanese page) 
(in English) Purpose of this study is to develop the method for automatic detection of periodic discharges (PDs) appeared in EEG in the intensive care unit (ICU). Characteristics of recorded EEGs such as amplitude and waveform pattern are different for respective subjects. Therefore, appropriate determination of threshold values is essential for achieving the accurate detection. The database of parameters for detecting PDs was obtained for each subject. Then thresholds values were determined based on the distribution of histograms. Proposed method was applied to the recorded data in the accuracy ICU and its accuracy was analyzed. Relationship between mean amplitude of whole EEG and parameters for detecting PDs were also investigated.
Keyword (in Japanese) (See Japanese page) 
(in English) Intensive care unit (ICU) / Periodic discharges (PDs) / Automatic detection / Database / Threshold determination / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 413, MBE2015-96, pp. 67-71, Jan. 2016.
Paper # MBE2015-96 
Date of Issue 2016-01-14 (MBE) 
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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Conference Information
Committee MBE  
Conference Date 2016-01-21 - 2016-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2016-01-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic detection of periodic discharges in the ICU EEG 
Sub Title (in English) determination of threshold values based on database 
Keyword(1) Intensive care unit (ICU)  
Keyword(2) Periodic discharges (PDs)  
Keyword(3) Automatic detection  
Keyword(4) Database  
Keyword(5) Threshold determination  
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Keyword(7)  
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1st Author's Name Chihiro Kitajima  
1st Author's Affiliation Saga University (Saga Univ.)
2nd Author's Name Takenao Sugi  
2nd Author's Affiliation Saga University (Saga Univ.)
3rd Author's Name Yoshitaka Matsuda  
3rd Author's Affiliation Saga University (Saga Univ.)
4th Author's Name Satoru Goto  
4th Author's Affiliation Saga University (Saga Univ.)
5th Author's Name Haruhiko Nohira  
5th Author's Affiliation NIHON KOHDEN CORPORATION (NKC)
6th Author's Name Yuichi Kubota  
6th Author's Affiliation Asakadai Central General Hospital/Tokyo Women's Medical University (ACGH/TWMU)
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Speaker Author-1 
Date Time 2016-01-21 15:30:00 
Presentation Time 20 minutes 
Registration for MBE 
Paper # MBE2015-96 
Volume (vol) vol.115 
Number (no) no.413 
Page pp.67-71 
#Pages 5 
Date of Issue 2016-01-14 (MBE) 

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