Cough sound description in relation to respiratory diseases in dairy calves

Ferrari, Sara; Piccinini, R.; Silva, Mitchell; Exadaktylos, Vasileios; Berckmans, Daniël; Guarino, Marcella

doi:10.1016/j.prevetmed.2010.06.013

Cited by 39 publications

(35 citation statements)

References 18 publications

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“…After the rough spectrogram was calculated, the algorithm calculated the 'duration' of the cough. As calf coughs have been found to have an average duration of 0.37 s (Ferrari et al, 2010). The duration was calculated from the rough spectrogram.…”

Section: Feature Calculationmentioning

confidence: 99%

“…Further studies reported the use of an online, cough monitoring system (Exadaktylos et al, 2008;Guarino et al, 2008), demonstrated that coughing sources could be localised and that the cough monitor could be used for the detection of respiratory diseases in pigs (Finger et al, 2014). However, this technology has not been evaluated to date for calves, although it has been shown that it is possible to differentiate between mechanical and calf cough sounds (Ferrari et al, 2010). Thus PLF technologies offer great potential in adding value to the Stockperson by reducing the severity of BRD and associated costs through earlier intervention.…”

Section: Introductionmentioning

confidence: 99%

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

Vandermeulen

Bahr

Johnston

et al. 2016

Computers and Electronics in Agriculture

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a b s t r a c tBovine 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.

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Section: Feature Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Vandermeulen

Bahr

Johnston

et al. 2016

Computers and Electronics in Agriculture

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“…It first extracted the mel frequency cepstrum coefficients with a feature dimension reduction and then used the support vector data description as an early anomaly detector. Ferrari et al [24] verified that cough sound can be used as a non-invasively diagnostic tool for respiratory diseases in youngstock groups. Clapham et al [25] presented an acoustic recording and analysis system that automatically detects, classifies, and quantifies ingestive events in free-grazing beef cattle.…”

Section: • Microphone Sensormentioning

confidence: 99%

A Cost-Effective Pigsty Monitoring System Based on a Video Sensor

Chung¹,

Kim²,

Lee³

et al. 2014

KSII TIIS

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Automated activity monitoring has become important in many applications. In particular, automated monitoring is an important issue in large-scale management of group-housed livestock because it can save a significant part of farm workers' time or minimize the damage caused by livestock problems. In this paper, we propose an automated solution for measuring the daily-life activities of pigs by using video data in order to manage the group-housed pigs. Especially, we focus on the circadian rhythm of group-housed pigs under windowless and 24-hour light-on conditions. Also, we derive a cost-effective solution within the acceptable range of quality for the activity monitoring application. From the experimental results with the video monitoring data obtained from two pig farms, we believe our method based on circadian rhythm can be applied for detecting management problems of group-housed pigs in a cost-effective way.

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“…Unfortunately, the clinical signs of BRD are often not apparent until late in the course of the disease due to the challenge associated with early diagnosis (Poulsen and McGuirk, 2009). Numerous diagnostic approaches have been attempted with varying success including the use of acute phase proteins (Humblet et al, 2004), PCR techniques (Asano et al, 2009;Fulton, 2009) and ELISA (Quinting et al, 2007), breath analysis (Burciaga-Robles et al, 2009), analysis of cough or respiratory sounds (Ferrari et al, 2010), assessment of feeding and other animal activity (Basarab et al, 1997;Hanzlicek et al, 2010), analysis of protein profiles (Mitchell et al, 2008), rumen bolus temperature recording (Rose-Dye et al, 2010;Timsit et al, 2010) and various immuno-histochemical techniques (Wallmann, 2006).…”

Section: Introductionmentioning

confidence: 99%

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

Schaefer

Cook

Bench

et al. 2012

Research in Veterinary Science

188

162

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Bovine respiratory disease complex (BRD) causes considerable economic loss and biosecurity cost to the beef industry globally and also results in significant degradation to the welfare of affected animals. The successful treatment of this disease depends on the early, timely and cost effective identification of affected animals. The objective of the present study was to investigate the use of an automated, RFID driven, noninvasive infrared thermography technology to determine BRD in cattle. Sixty-five calves averaging 220 kg were exposed to standard industry practices of transport and auction. The animals were monitored for BRD using conventional biometric signs for clinical scores, core temperatures, haematology, serum cortisol and infrared thermal values over 3 weeks. The data collected demonstrated that true positive animals for BRD based on a gold standard including core temperature, clinical score, white blood cell number and neutrophil/lymphocyte ratio displayed higher peak infrared thermal values of 35.7±0.35 °C compared to true negative animals 34.9±0.22 °C (P<0.01). The study also demonstrated that such biometric data can be non-invasively and automatically collected based on a system developed around the animal's water station. It is concluded that the deployment of such systems in the cattle industry would aid animal managers and practitioners in the identification and management of BRD in cattle populations.

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Cough sound description in relation to respiratory diseases in dairy calves

Cited by 39 publications

References 18 publications

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

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

A Cost-Effective Pigsty Monitoring System Based on a Video Sensor

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

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