Background: Reliable lameness thresholds for vertical head displacement for trotting on a circular path and on different surfaces have yet to be defined. Withers movement in lame horses could help improve the diagnostic accuracy of sensor technology.
Objectives: To define head movement lameness threshold ranges and describe the relationship between head and withers movement during trotting under different circumstances in sound and forelimb lame horses.
Study Design: Retrospective analysis of clinical data and comparison with control group.
Methods: Fifty-five sound and thirty-four naturally lame horses were trotted under field conditions on a hard surface on a straight line and on both directions on soft and hard surfaces. Movement asymmetry was analysed by measuring differences in displacement minima for head and withers using an inertial measurement unit sensor-based gait analysis system. Receiver operating characteristic (ROC) analysis was performed to define threshold ranges. Relationships between head and withers data were identified by calculating the correlation with linear regression analysis.
Results: Estimated lameness threshold values for vertical head movement asymmetry ranged from 11.5 to 12.5 mm. On both surfaces, a head movement asymmetry threshold range from 24.5 to 26.5 mm could be found for the circle. Lame horses showed significant correlations between head and withers movement on hard ground straight line (R 0.714, p < 0.001) and inner leg lame horses on the lunge (R 0.915, p < 0.001).
Main Limitations: Different sources of lameness were not distinguished. Radius and speed during lungeing could not be perfectly controlled. Inclusion in the sound group was based on a subjective examination by one clinician and in the lame group two clinicians subjectively determined inner and outer leg lameness creating an extra amount of uncertainty.
Conclusions: Lameness thresholds for quantifying head movement asymmetry on the lunge were proposed. A significant correlation was observed between head and withers movement asymmetry under several conditions.
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http://dx.doi.org/10.1111/evj.14430 | DOI Listing |
J Dairy Sci
December 2024
Department of Animal and Dairy Sciences, University of Wisconsin, Madison, Wisconsin 53706, USA. Electronic address:
The objective of this study was to assess the applicability of a computer vision-based keypoint detection technique to extract mobility variables associated with mobility scores from top-view 2-dimensional (2D) videos of dairy cows. In addition, the study determined the potential of a machine learning classification model to predict mobility scores based on the newly extracted mobility variables. A data set of 256 video clips of individual cows was collected, with each clip recorded from a top-view perspective while the cows were walking.
View Article and Find Full Text PDFEquine Vet J
November 2024
Clinic for Horses, Department of Surgery and Orthopaedics, Faculty of Veterinary Medicine, Justus-Liebig-University Giessen, Giessen, Germany.
Background: Reliable lameness thresholds for vertical head displacement for trotting on a circular path and on different surfaces have yet to be defined. Withers movement in lame horses could help improve the diagnostic accuracy of sensor technology.
Objectives: To define head movement lameness threshold ranges and describe the relationship between head and withers movement during trotting under different circumstances in sound and forelimb lame horses.
Sensors (Basel)
July 2024
Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada.
Hoof care providers are pivotal for implementing biomechanical optimizations of the musculoskeletal system in the horse. Regular visits allow for the collection of longitudinal, quantitative information ("normal ranges"). Changes in movement symmetry, e.
View Article and Find Full Text PDFAnimals (Basel)
July 2024
Animal Science Department, Inner Mongolia Agricultural University, Zhaowuda Road, No. 8 Teaching and Research Building, Hohhot 010010, China.
The ability to recognize the body sizes of sheep is significantly influenced by posture, especially without artificial fixation, leading to more noticeable changes. This study presents a recognition model using the Mask R-CNN convolutional neural network to identify the sides and backs of sheep. The proposed approach includes an algorithm for extracting key frames through mask calculation and specific algorithms for head-down, head-up, and jumping postures of Ujumqin sheep.
View Article and Find Full Text PDFJ Dairy Sci
October 2024
Department of Animal Sciences, University of Illinois, Urbana, IL 61801. Electronic address:
Determination of energy requirements for growth depends on measuring the composition of BW gain. Previous studies have shown that the composition of gain can be altered in young dairy calves by the composition of the milk replacer diet. Here, our objective was to determine body composition and the composition of empty body gain in young calves fed increasing amounts of a milk replacer containing adequate CP.
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