About: Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds
Creator	Earley, Bernadette Johnston, Dayle Bahr, Claudia Berckmans, Daniel Exadaktylos, Vasileios Fontana, Ilaria Guarino, Marcella Tullo, Emanuela Vandermeulen, Joris
Source	Elsevier; Medline; PMC
abstract	Abstract Bovine respiratory disease (BRD) complex in calves impairs health and welfare and causes severe economic losses for the Stockperson. Early recognition of BRD should lead to earlier veterinary (antibiotic/anti-inflammatory) treatment interventions thereby reducing the severity of the disease and associated costs. Coughing is one of the clinical manifestations of BRD. It is believed that by automatically and continuously monitoring the sounds within calf houses, and analysing the coughing frequency, early recognition of BRD in calves is possible. Therefore, the objective of the present study was to develop an automated calf cough monitor and examine its potential as an early warning system for BRD in artificially reared dairy calves. The coughing sounds of 62 calves were continuously recorded by a microphone over a three-month period. A sound analysis algorithm was developed to distinguish calf coughs from other sounds (e.g. mechanical sounds). During the sound recording period the health of the calves was assessed and scored periodically per week by a trained human observer. Calves presenting with BRD received antibiotic and/or anti-inflammatory treatment and the dates of treatment were recorded. This treatment date reference served as a comparison for the investigation of whether an increase in coughing frequency could be related to calves developing BRD. The calf cough detection algorithm achieved 50.3% sensitivity, 99.2% specificity and 87.5% precision. Four out of five periods, where coughing frequency was observed to be increased, coincided with the development of BRD in more than one calf. This period of increased coughing frequency was always observed before the calves were treated. Therefore, the calf cough monitor has the potential to identify early onset of BRD in calves.
has issue date	2016-11-01(xsd:dateTime)
bibo:doi	10.1016/j.compag.2016.07.014
bibo:pmid	32287575
has license	els-covid
sha1sum (hex)	43b1ac395488dea68103db51bbc449285155d496
schema:url	https://doi.org/10.1016/j.compag.2016.07.014
resource representing a document's title	Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds
has PubMed Central identifier	PMC7114224
has PubMed identifier	32287575
schema:publication	Computers and Electronics in Agriculture
resource representing a document's body	covid:43b1ac395488dea68103db51bbc449285155d496#body_text
is schema:about of	named entity 'AUTOMATED' named entity 'development' named entity 'mechanical' named entity 'sounds' named entity 'calves' named entity 'welfare' named entity 'dates' named entity 'continuously' named entity 'frequency' named entity 'develop' named entity 'sounds' named entity 'REDUCING' named entity 'PRESENT' named entity 'DEVELOPING' named entity 'DEVELOPMENT' named entity 'INCREASED COUGHING' named entity 'HEALTH' named entity 'EARLY' named entity 'OBSERVED' named entity 'PRECISION' named entity 'VETERINARY' named entity 'ANTI-INFLAMMATORY TREATMENT' named entity 'RECEIVED' named entity 'COUGHS' named entity 'PERIOD' named entity 'ONE OF' named entity 'EARLY ONSET' named entity 'ASSESSED' named entity 'THE SOUND' named entity 'TREATED' named entity 'OBSERVER' named entity 'TREATMENT' named entity 'FREQUENCY' named entity 'CALF' named entity 'BOVINE RESPIRATORY DISEASE' named entity 'ALGORITHM' named entity 'EARLY RECOGNITION' named entity 'SOUNDS' named entity 'MICROPHONE' named entity 'OBJECTIVE' named entity 'IMPAIRS' named entity 'MECHANICAL' named entity 'COSTS' named entity 'LEAD' named entity 'MONITORING' named entity 'CONTINUOUS' named entity 'MONITORING' named entity 'USING' named entity 'ECONOMIC' named entity 'PERIODICALLY' named entity 'SOUND' named entity 'TRAINED' named entity 'CAUSES' named entity 'COUGH' named entity 'CALVES' named entity 'ANTIBIOTIC' named entity 'WELFARE' named entity 'INCREASE' named entity 'WHERE' named entity 'ANALYSIS' named entity 'SYSTEM' named entity 'RECORDING' named entity 'SPECIFICITY' named entity 'CLINICAL MANIFESTATIONS' named entity 'INCREASED' named entity 'EARLY RECOGNITION' named entity 'ANTI-INFLAMMATORY' named entity 'DISEASE' named entity 'DATES' named entity 'CALVES' named entity 'TO IDENTIFY' named entity 'MONTH' named entity 'COUGHING'

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