Paper Abstract and Keywords |
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 |
Copyright and reproduction |
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EA2020-57 |
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