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Paper Abstract and Keywords
Presentation 2016-11-17 13:55
Analysis of phonocardiographic signals using noise suppression for wavelet transform
Shinya Kudo, Keisuke Nishijima, Shingo Uenohara, Ken'ichi Furuya (Oita Univ.) EA2016-49 EMM2016-55
Abstract (in Japanese) (See Japanese page) 
(in English) While heart disease is one of the three major diseases, only well-qualified doctors can evaluate phono-
cardiographic signals. However, phonocardiographic signals are not always used in healthcare because only a few
professionals are experts in evaluating phonocardiographic signals. This calls for an easily available system that can
automatically diagnose phonocardiographic signals. But, everyday noises such as lung and breath sounds, environ-
mental noises, and blood flow noises may contaminate these signals and hinder analysis. When recording in a room,
suppression is required as these signals are heavily contaminated by noise from various sources. In this study, we
examine the appropriate parameters of various wavelet functions and multiplicative threshold rescaling for various
phonocardiographic signals, and compare between the proposed method and spectral subtraction in diagnose rate.
Keyword (in Japanese) (See Japanese page) 
(in English) wavelet transform / phonocardioglaphic signal / identification / spectral subtraction / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 302, EA2016-49, pp. 7-12, Nov. 2016.
Paper # EA2016-49 
Date of Issue 2016-11-10 (EA, EMM) 
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 EA EMM  
Conference Date 2016-11-17 - 2016-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Compal Hall (Oita) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multimedia Fusion, Content Processing, Multimedia Retrieval, Digital Watermarking, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2016-11-EA-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of phonocardiographic signals using noise suppression for wavelet transform 
Sub Title (in English)  
Keyword(1) wavelet transform  
Keyword(2) phonocardioglaphic signal  
Keyword(3) identification  
Keyword(4) spectral subtraction  
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1st Author's Name Shinya Kudo  
1st Author's Affiliation Oita University (Oita Univ.)
2nd Author's Name Keisuke Nishijima  
2nd Author's Affiliation Oita University (Oita Univ.)
3rd Author's Name Shingo Uenohara  
3rd Author's Affiliation Oita University (Oita Univ.)
4th Author's Name Ken'ichi Furuya  
4th Author's Affiliation Oita University (Oita Univ.)
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Speaker Author-1 
Date Time 2016-11-17 13:55:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2016-49, EMM2016-55 
Volume (vol) vol.116 
Number (no) no.302(EA), no.303(EMM) 
Page pp.7-12 
#Pages
Date of Issue 2016-11-10 (EA, EMM) 


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