Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds
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- 作者：Joris Vandermeulena ; Claudia Bahra ; Dayle Johnstonb ; Bernadette Earleyb ; Emanuela Tulloc ; Ilaria Fontanac ; Marcella Guarinoc ; Vasileios Exadaktylosa ; Daniel Berckmansa ; Daniel.Berckmans@biw.kuleuven.be" class="auth_mail" title="E-mail the corresponding author
- 关键词：Disease monitoring ; Sound analysis ; Bioacoustics ; Non-invasive technology
- 刊名：Computers and Electronics in Agriculture
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：129
- 期：Complete
- 页码：15-26
- 全文大小：4771 K
文摘
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An automated and continuous calf cough sound monitor was developed.
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The monitor achieved 50.3% sensitivity, 99.2% specificity and 87.5% precision.
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Four out of five increased coughing periods were confirmed by the gold standard.
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The five increased coughing periods coincided with one or more calves receiving treatment for BRD.