Literature DB >> 20633937

Cough sound description in relation to respiratory diseases in dairy calves.

S Ferrari1, R Piccinini, M Silva, V Exadaktylos, D Berckmans, M Guarino.   

Abstract

Cough can be a biomarker in case of respiratory diseases. By monitoring and analyzing cough sounds through automatic devices, the farmer can obtain an early warning about a developing outbreak of respiratory infections. Cough sounds can be characterized by particular acoustic features (amplitude, frequency and duration) that are obtained by sound recording, labeling and analytic procedures. Based on these features, it might be possible to develop an automated cough recognition system. The aim of the study described in this paper is to investigate whether it is possible to discriminate cough sounds from other frequently occurring sounds in youngstock stables. Nasal swabs and blood were taken to identify the microbiological agents responsible for the respiratory problems. The collected cough sounds were compared to metal rack sounds, which are very common sounds in cattle farming, to identify acoustic differences between them. Results show that the length of cough sounds was significantly different from metal rack sounds (0.34 versus 0.37 s, P<0.05). Also, the analysis of amplitude and fundamental frequency showed significant differences between both types of sounds (resp. 0.21 and 0.18; 1326 and 3868 HZ). This indicates that it is possible discriminate cough sounds from other sounds and that cough sound can be used as a non-invasively diagnostic tool for respiratory diseases in youngstock groups. 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20633937     DOI: 10.1016/j.prevetmed.2010.06.013

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  7 in total

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Authors:  M Carolyn Gates; Lindsey K Holmstrom; Keith E Biggers; Tammy R Beckham
Journal:  Front Public Health       Date:  2015-04-28

2.  An advanced recording and analysis system for the differentiation of guinea pig cough responses to citric acid and prostaglandin E2 in real time.

Authors:  Jianguo Zhuang; Lei Zhao; Xiuping Gao; Fadi Xu
Journal:  PLoS One       Date:  2019-05-22       Impact factor: 3.240

3.  The non-invasive and automated detection of bovine respiratory disease onset in receiver calves using infrared thermography.

Authors:  A L Schaefer; N J Cook; C Bench; J B Chabot; J Colyn; T Liu; E K Okine; M Stewart; J R Webster
Journal:  Res Vet Sci       Date:  2011-11-03       Impact factor: 2.534

4.  A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice.

Authors:  Dengsheng Sun; Laura Webb; P P J van der Tol; Kees van Reenen
Journal:  Front Vet Sci       Date:  2021-11-26

5.  A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry.

Authors:  Xiaodong Du; Fengdan Lao; Guanghui Teng
Journal:  Sensors (Basel)       Date:  2018-09-01       Impact factor: 3.576

6.  Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds.

Authors:  Joris Vandermeulen; Claudia Bahr; Dayle Johnston; Bernadette Earley; Emanuela Tullo; Ilaria Fontana; Marcella Guarino; Vasileios Exadaktylos; Daniel Berckmans
Journal:  Comput Electron Agric       Date:  2016-09-22       Impact factor: 5.565

Review 7.  Assessment of cough in head and neck cancer patients at risk for dysphagia-An overview.

Authors:  Sofiana Mootassim-Billah; Gwen Van Nuffelen; Jean Schoentgen; Marc De Bodt; Tatiana Dragan; Antoine Digonnet; Nicolas Roper; Dirk Van Gestel
Journal:  Cancer Rep (Hoboken)       Date:  2021-05-01
  7 in total

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