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External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs

Early detection of disease by an animal owner may motivate them to seek early veterinary advice. Presentation before a more advanced clinical manifestation is evident could lead to more effective treatment and thus benefit the animal’s health and welfare. Accelerometers are able to detect changes in...

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Autores principales: den Uijl, Ingrid, Gómez Álvarez, Constanza B., Bartram, David, Dror, Yoni, Holland, Robert, Cook, Alasdair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706712/
https://www.ncbi.nlm.nih.gov/pubmed/29186154
http://dx.doi.org/10.1371/journal.pone.0188481
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author den Uijl, Ingrid
Gómez Álvarez, Constanza B.
Bartram, David
Dror, Yoni
Holland, Robert
Cook, Alasdair
author_facet den Uijl, Ingrid
Gómez Álvarez, Constanza B.
Bartram, David
Dror, Yoni
Holland, Robert
Cook, Alasdair
author_sort den Uijl, Ingrid
collection PubMed
description Early detection of disease by an animal owner may motivate them to seek early veterinary advice. Presentation before a more advanced clinical manifestation is evident could lead to more effective treatment and thus benefit the animal’s health and welfare. Accelerometers are able to detect changes in specific activities or behaviours, thus indicating early signs of possible adverse health events. The objective of this validation study was to determine whether the detection of eight behavioural states: walk, trot, canter/gallop, sleep, static/inactive, eat, drink, and headshake, by an accelerometer device was sufficiently accurate to be useful in a clinical setting. This fully independent external validation estimated the accuracy of a specific triaxial, collar-mounted accelerometer on a second-by second basis in 51 healthy dogs of different breeds, aged between 6 months and 13 years, weighing >10 kg. The overall diagnostic effectiveness was estimated as: % record correctly classified of > 95% in walk, trot, canter/gallop, eat, drink and headshake and >90% in sleep and static/inactive. The positive predictive values ranged from 93–100%, while the negative predictive values ranged from 96–100%, with exception of static/inactive (86%).This was probably because dogs were placed in unfamiliar kennels where they did not exhibit their typical resting behaviour. The device is worn on a collar, making its use feasible for anyone wanting to monitor their dog’s behaviour. The high accuracy in detecting various kinds of behaviour appears promising in assessing canine health and welfare states.
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spelling pubmed-57067122017-12-08 External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs den Uijl, Ingrid Gómez Álvarez, Constanza B. Bartram, David Dror, Yoni Holland, Robert Cook, Alasdair PLoS One Research Article Early detection of disease by an animal owner may motivate them to seek early veterinary advice. Presentation before a more advanced clinical manifestation is evident could lead to more effective treatment and thus benefit the animal’s health and welfare. Accelerometers are able to detect changes in specific activities or behaviours, thus indicating early signs of possible adverse health events. The objective of this validation study was to determine whether the detection of eight behavioural states: walk, trot, canter/gallop, sleep, static/inactive, eat, drink, and headshake, by an accelerometer device was sufficiently accurate to be useful in a clinical setting. This fully independent external validation estimated the accuracy of a specific triaxial, collar-mounted accelerometer on a second-by second basis in 51 healthy dogs of different breeds, aged between 6 months and 13 years, weighing >10 kg. The overall diagnostic effectiveness was estimated as: % record correctly classified of > 95% in walk, trot, canter/gallop, eat, drink and headshake and >90% in sleep and static/inactive. The positive predictive values ranged from 93–100%, while the negative predictive values ranged from 96–100%, with exception of static/inactive (86%).This was probably because dogs were placed in unfamiliar kennels where they did not exhibit their typical resting behaviour. The device is worn on a collar, making its use feasible for anyone wanting to monitor their dog’s behaviour. The high accuracy in detecting various kinds of behaviour appears promising in assessing canine health and welfare states. Public Library of Science 2017-11-29 /pmc/articles/PMC5706712/ /pubmed/29186154 http://dx.doi.org/10.1371/journal.pone.0188481 Text en © 2017 den Uijl et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
den Uijl, Ingrid
Gómez Álvarez, Constanza B.
Bartram, David
Dror, Yoni
Holland, Robert
Cook, Alasdair
External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
title External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
title_full External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
title_fullStr External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
title_full_unstemmed External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
title_short External validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
title_sort external validation of a collar-mounted triaxial accelerometer for second-by-second monitoring of eight behavioural states in dogs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706712/
https://www.ncbi.nlm.nih.gov/pubmed/29186154
http://dx.doi.org/10.1371/journal.pone.0188481
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