Ivana Gabriela Schork
Testing the accuracy of wearable technology to assess sleep behaviour in domestic dogs: a prospective tool for animal welfare assessment in kennels
Schork, Ivana Gabriela; Manzo, Isabele Aparecida; Oliveira, Marcos Roberto Beiral de; Costa, Fernanda Vieira; Young, Robert John; De Azevedo, Cristiano Schetini
Authors
Isabele Aparecida Manzo
Marcos Roberto Beiral de Oliveira
Fernanda Vieira Costa
Prof Robert Young R.J.Young@salford.ac.uk
Professor
Cristiano Schetini De Azevedo
Abstract
Sleep is a physiological process that has been shown to impact both physical and psychological heath of individuals when compromised; hence, it has the potential to be used as an indicator of animal welfare. Nonetheless, evaluating sleep in non-human species normally involves manipulation of the subjects (i.e., placement of electrodes on the cranium), and most studies are conducted in a laboratory setting, which limits the generalisability of information obtained, and the species investigated. In this study, we evaluated an alternative method of assessing sleep behaviour in domestic dogs, using a wearable sensor, and compared the measurements obtained to behavioural observations to evaluate accuracy. Differences between methods ranged from 0.13% to 59.3% for diurnal observations and 0.1% to 95.9% for nocturnal observations for point-by-point observations. Comparisons between methods showed significant differences in certain behaviours, such as inactivity and activity for diurnal recordings. However, total activity and total sleep recorded did not differ statistically between methods. Overall, the wearable technology tested was found to be a useful, and a less-time consuming, tool in comparison to direct behavioural observations for the evaluation of behaviours and their indication of wellbeing in dogs. The agreement between the wearable technology and directly observed data ranged from 75% to 99% for recorded behaviours, and these results are similar to previous findings in the literature.
Citation
Schork, I. G., Manzo, I. A., Oliveira, M. R. B. D., Costa, F. V., Young, R. J., & De Azevedo, C. S. (in press). Testing the accuracy of wearable technology to assess sleep behaviour in domestic dogs: a prospective tool for animal welfare assessment in kennels. Animals, 13(9), 1467. https://doi.org/10.3390/ani13091467
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 24, 2023 |
Online Publication Date | Apr 26, 2023 |
Deposit Date | May 12, 2023 |
Publicly Available Date | May 18, 2023 |
Journal | Animals |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 13 |
Issue | 9 |
Pages | 1467 |
DOI | https://doi.org/10.3390/ani13091467 |
Keywords | General Veterinary; Animal Science and Zoology |
Files
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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