1. Heart Rate and Heart Rate Variability Change with Sleep Stage in Dairy Cows
- Author
-
Cheryl O’Connor, Laura B. Hunter, Kevin J. Stafford, Fritha M. Langford, James R. Webster, and Marie J. Haskell
- Subjects
medicine.medical_specialty ,Veterinary medicine ,Polysomnography ,Article ,03 medical and health sciences ,0302 clinical medicine ,polysomnography ,Internal medicine ,Heart rate ,SF600-1100 ,medicine ,heart rate ,Heart rate variability ,dairy cows ,sleep ,Alternative methods ,Sleep Stages ,General Veterinary ,medicine.diagnostic_test ,business.industry ,0402 animal and dairy science ,heart rate variability ,04 agricultural and veterinary sciences ,040201 dairy & animal science ,Sleep in non-human animals ,QL1-991 ,Cardiology ,Animal Science and Zoology ,business ,Zoology ,030217 neurology & neurosurgery - Abstract
Simple Summary The amount of sleep acquired and changes to patterns of sleep could be a useful tool to assess cow welfare, particularly in response to changes or stressors in their environment. However, the current most accurate method to assess sleep, polysomnography (PSG), is difficult and time consuming. In humans, heart rate (HR) and variability in time between heart beats (HRV) can be used to identify sleep stages, and this could be a useful alternative to investigate sleep in cows. We compared measures of HR and HRV with PSG in two groups of dairy cows in different environments and investigated the effects of lying posture on these measures. We found that HR decreased with deepening sleep stages in both groups of cows, that rapid eye movement sleep (REM) was associated with higher HRV and that HR and HRV also changed with different lying postures. The patterns of differences between sleep stages were similar between the two groups of cows. Our results suggest that HR and HRV change with sleep stages in cows and that these measures could be a useful, and more easily applied, method of assessing sleep stages in dairy cows. Abstract Changes to the amount and patterns of sleep stages could be a useful tool to assess the effects of stress or changes to the environment in animal welfare research. However, the gold standard method, polysomnography PSG, is difficult to use with large animals such as dairy cows. Heart rate (HR) and heart rate variability (HRV) can be used to predict sleep stages in humans and could be useful as an easier method to identify sleep stages in cows. We compared the mean HR and HRV and lying posture of dairy cows at pasture and when housed, with sleep stages identified through PSG. HR and HRV were higher when cows were moving their heads or when lying flat on their side. Overall, mean HR decreased with depth of sleep. There was more variability in time between successive heart beats during REM sleep, and more variability in time between heart beats when cows were awake and in REM sleep. These shifts in HR measures between sleep stages followed similar patterns despite differences in mean HR between the groups. Our results show that HR and HRV measures could be a promising alternative method to PSG for assessing sleep in dairy cows. more...
- Published
- 2021
- Full Text
- View/download PDF