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Presentation 2020-12-14 15:20
STUDY ON DISEASE-DETECTION METOHDS USING BODY-CONDUCTED SOUNDS IN LIVESTOCK
Kazunari Tsuchiya, Syunsuke Ishimitsu, Yoshiko Morinaga, Cheng Yibing, Kenta Narusawa, Satoshi Iijima, Masashi Nakayama (Hiroshima City Univ.), Osamu Mikami, Michihiro Takagi, Hiroaki Inoue (NARO) EA2020-57
Abstract (in Japanese) (See Japanese page) 
(in English) With the increase in the sizes of the farms in Japan’s livestock industry, managing individual animals has become quite difficult. Under such circumstances, disease detection becomes complicated, and the delay of detection increases the spread and severity of the disease. The purpose of this study is to establish an early detection system to identify respiratory diseases in pigs using body-conducted sound (BCS). Biological information such as respiratory sounds and heartbeat are necessary to properly determine the occurrence of disease. Therefore, a bio-information monitoring method for the disease-detection systems, which extracts periodic components in body-conducted sounds using independent component analysis (ICA) and adaptive signal processing (ALE), is proposed. Furthermore, significant differences were found through the analysis of BCS acoustics before and after inoculations in zero crossing and mel-frequency cepstral coefficient acoustic features, which are features of BCS when a pig has a respiratory disease. Therefore, it is suggested that early detection of respiratory diseases can be achieved by assessing these acoustic features.
Keyword (in Japanese) (See Japanese page) 
(in English) Body-conducted sound (BCS) / Piezo sensor / Respiratory sound / Heart sound / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 296, EA2020-57, pp. 69-74, Dec. 2020.
Paper # EA2020-57 
Date of Issue 2020-12-07 (EA) 
ISSN 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  
Conference Date 2020-12-14 - 2020-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Engineering/Electro Acoustics, and Related Topics 
Paper Information
Registration To EA 
Conference Code 2020-12-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) STUDY ON DISEASE-DETECTION METOHDS USING BODY-CONDUCTED SOUNDS IN LIVESTOCK 
Sub Title (in English)  
Keyword(1) Body-conducted sound (BCS)  
Keyword(2) Piezo sensor  
Keyword(3) Respiratory sound  
Keyword(4) Heart sound  
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Keyword(6)  
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1st Author's Name Kazunari Tsuchiya  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Syunsuke Ishimitsu  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Yoshiko Morinaga  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Cheng Yibing  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
5th Author's Name Kenta Narusawa  
5th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
6th Author's Name Satoshi Iijima  
6th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
7th Author's Name Masashi Nakayama  
7th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
8th Author's Name Osamu Mikami  
8th Author's Affiliation National Agriculture and Food Research Organization (NARO)
9th Author's Name Michihiro Takagi  
9th Author's Affiliation National Agriculture and Food Research Organization (NARO)
10th Author's Name Hiroaki Inoue  
10th Author's Affiliation National Agriculture and Food Research Organization (NARO)
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Speaker Author-1 
Date Time 2020-12-14 15:20:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # EA2020-57 
Volume (vol) vol.120 
Number (no) no.296 
Page pp.69-74 
#Pages
Date of Issue 2020-12-07 (EA) 


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