Background: The majority of dogs with idiopathic epilepsy continue to have seizures despite appropriate treatment.
Objectives: To assess the use of a commercially available, collar-mounted accelerometer to detect generalized seizures in dogs.
Animals: Twenty two client-owned dogs with idiopathic epilepsy.
Methods: Six-month prospective clinical study during which dogs wore a collar-mounted accelerometer. Seizure documentation was based on owner observations and video recordings. The accelerometer used a predefined algorithm to detect seizures in the first study phase, and an individualized algorithm in the second study phase. Caregivers completed a quality of life (QoL) questionnaire at the initial and final study visit.
Results: Using the predefined algorithm, the accelerometer detected seizures with a sensitivity of 18.6% (95% CI [13.4%, 23.8%]) and mean false detection rate of 0.096/day. Values did not change significantly with use of an individualized algorithm (sensitivity 22.1%, 95% CI [15.1%, 29.0%]; false detection rate 0.054/day). Mean composite QoL score was significantly improved at study completion (50.42) compared to study initiation (39.53; P = .005), and this change was moderately correlated with a change in weekly exercise (r = 0.46, P = .05).
Conclusions And Clinical Importance: Generalized seizures in dogs can be detected with a collar-mounted accelerometer, but the overall sensitivity is low.
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http://dx.doi.org/10.1111/jvim.15760 | DOI Listing |
Biol Lett
December 2024
Department of Biology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO 80523, USA.
The acute-phase response (APR) is an adaptive emergency life-history stage, wherein vertebrates exhibit fever and anorexia to survive an infection. However, induced immune responses are energetically costly, and sick animals may reduce physical activity to compensate. Tests of this predicted energetic trade-off in free-ranging animals are rare due to difficulties in measuring individual physiology and behaviour under immune challenge in natural settings.
View Article and Find Full Text PDFAnimals (Basel)
November 2024
Asia Pacific Ruminant Institute, Icheon 17385, Republic of Korea.
The monitoring of pre-weaned calf behavior is crucial for ensuring health, welfare, and optimal growth. This study aimed to develop and validate a machine learning-based technique for the simultaneous monitoring of multiple behaviors in pre-weaned beef calves within a cow-calf contact (CCC) system using collar-mounted sensors integrating accelerometers and gyroscopes. Three complementary models were developed to classify feeding-related behaviors (natural suckling, feeding, rumination, and others), postural states (lying and standing), and coughing events.
View Article and Find Full Text PDFN Z Vet J
November 2024
Tāwharau Ora - School of Veterinary Science, Massey University, Palmerston North, New Zealand.
Aims: To obtain preliminary data on changes in gait from the use of a green-lipped mussel () extract product in working farm dogs with musculoskeletal abnormalities using accelerometry. New Zealand working farm dogs (n = 32) with signs of musculoskeletal abnormalities were enrolled in a double-blinded, placebo-controlled cross-over study. Each dog was allocated to one of six groups to receive three trial substances (180 mg full fat green-lipped mussel extract (GLME); 220 mg full fat green-lipped mussel extract (GLME); placebo) in one of the six possible different orders.
View Article and Find Full Text PDFObserving animals in the wild often poses extreme challenges, but animal-borne accelerometers are increasingly revealing unobservable behaviours. Automated machine learning streamlines behaviour identification from the substantial datasets generated during multi-animal, long-term studies; however, the accuracy of such models depends on the qualities of the training data. We examined how data processing influenced the predictive accuracy of random forest (RF) models, leveraging the easily observed domestic cat () as a model organism for terrestrial mammalian behaviours.
View Article and Find Full Text PDFJ Wildl Manage
July 2022
Department of Zoology and Physiology, University of Wyoming University Avenue Laramie WY 82071 USA.
Many wildlife species are live captured, sampled, and released; for polar bears () capture often requires chemical immobilization via helicopter darting. Polar bears reduce their activity for approximately 4 days after capture, likely reflecting stress recovery. To better understand this stress, we quantified polar bear activity (via collar-mounted accelerometers) and body temperature (via loggers in the body core [T] and periphery [T]) during 2-6 months of natural behavior, and during helicopter recapture and immobilization.
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