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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

Ivana Gabriela Schork

Isabele Aparecida Manzo

Marcos Roberto Beiral de Oliveira

Fernanda Vieira Costa

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

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