Linear Discriminant Analysis for Investigating Differences in Upper Body Movement Symmetry in Horses before/after Diagnostic Analgesia in Relation to Expert Judgement.
Abstract: Diagnostic analgesia and lunging are parts of the equine lameness examination, aiding veterinarians in localizing the anatomical region(s) causing pain-related movement deficits. Expectation bias of visual assessment and complex movement asymmetry changes in lame horses on the lunge highlight the need to investigate data-driven approaches for optimally integrating quantitative gait data into veterinary decision-making to remove bias. A retrospective analysis was conducted with inertial sensor movement symmetry data before/after diagnostic analgesia relative to subjective judgement of efficacy of diagnostic analgesia in 53 horses. Horses were trotted on the straight and on the lunge. Linear discriminant analysis (LDA) applied to ten movement asymmetry features quantified the accuracy of classifying negative, partial and complete responses to diagnostic analgesia and investigated the influence of movement direction and surface type on the quality of the data-driven separation between diagnostic analgesia categories. The contribution of movement asymmetry features to decision-making was also studied. Leave-one-out classification accuracy varied considerably (38.3-57.4% for forelimb and 36.1-56.1% for hindlimb diagnostic analgesia). The highest inter-category distances (best separation) were found with the blocked limb on the inside of the circle, on hard ground for forelimb diagnostic analgesia and on soft ground for hindlimb diagnostic analgesia. These exercises deserve special attention when consulting quantitative gait data in lame horses. Head and pelvic upward movement and withers minimum differences were the features with the highest weighting within the first canonical LDA function across exercises and forelimb and hindlimb diagnostic analgesia. This highlights that movement changes after diagnostic analgesia affect the whole upper body. Classification accuracies based on quantitative movement asymmetry changes indicate considerable overlap between subjective diagnostic analgesia categories.
Publication Date: 2022-03-17 PubMed ID: 35327159PubMed Central: PMC8944550DOI: 10.3390/ani12060762Google Scholar: Lookup
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Summary
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The research paper investigates the use of Linear Discriminant Analysis (LDA) in evaluating the impact of diagnostic analgesia on movement asymmetry in horses with lameness issues. The study, which uses motion sensor data, aims to improve veterinary decision-making by reducing subjectivity and bias.
Research Design
- The study was a retrospective analysis that used data from the movement symmetries of 53 horses before and after they received diagnostic analgesia.
- The horses were trotted on a straight line and on a lunge, which is a circular track used for training or exercising horses.
- The researchers utilized Linear Discriminant Analysis (LDA) on ten different features of movement asymmetry to classify the responses to diagnostic analgesia into three categories: negative, partial, and complete responses.
- The influence of movement direction and surface type on the data-driven separation between these categories was also examined.
Results
- The leave-one-out classification accuracy had considerable variations, with accuracy rates ranging from 36.1% to 57.4% for both forelimb and hindlimb diagnostic analgesia.
- The best separation, or highest inter-category distances, occurred with the blocked limb on the inside of the circle for forelimb diagnostic analgesia on hard ground, and for hindlimb diagnostic analgesia on soft ground.
- Head and pelvic upward movement and minimum differences in the withers (ridge between the shoulder blades of a horse) were given the highest weightings within the first canonical LDA function across all exercises.
Implications of Analysis
- This suggests that changes in the whole of the upper body movement of the horses are affected by diagnostic analgesia.
- These exercises, particularly the ones showing the highest inter-category distances, should be given extra consideration when consulting quantitative gait data in lame horses.
- The study concludes that a considerable overlap exists between the different subjective categories of response to diagnostic analgesia in the movement asymmetry of lame horses, as indicated by the classification accuracies.
Cite This Article
APA
Pfau T, Bolt DM, Fiske-Jackson A, Gerdes C, Hoenecke K, Lynch L, Perrier M, Smith RKW.
(2022).
Linear Discriminant Analysis for Investigating Differences in Upper Body Movement Symmetry in Horses before/after Diagnostic Analgesia in Relation to Expert Judgement.
Animals (Basel), 12(6).
https://doi.org/10.3390/ani12060762 Publication
Researcher Affiliations
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
- Faculty of Veterinary Medicine, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada.
- Faculty of Kinesiology, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada.
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
- Pferdeklinik Hochmoor GmbH, D-48712 Gescher, Germany.
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
- Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield AL9 7TA, UK.
Conflict of Interest Statement
T.P. is owner of EquiGait Ltd., a company offering gait analysis products and services. This does not alter our adherence to policies on sharing data and materials.
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Citations
This article has been cited 3 times.- Poizat E, Gérard M, Macaire C, De Azevedo E, Denoix JM, Coudry V, Jacquet S, Bertoni L, Tallaj A, Audigié F, Hatrisse C, Hébert C, Martin P, Marin F, Hanne-Poujade S, Chateau H. Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System. Sensors (Basel) 2025 Feb 12;25(4).
- Pfau T, Clark KS, Bolt DM, Lai JS, Perrier M, Rhodes JB, Smith RK, Fiske-Jackson A. Changes in Head and Pelvic Movement Symmetry after Diagnostic Anaesthesia: Interactions between Subjective Judgement Categories and Commonly Applied Blocks. Animals (Basel) 2023 Dec 6;13(24).
- Macaire C, Hanne-Poujade S, De Azevedo E, Denoix JM, Coudry V, Jacquet S, Bertoni L, Tallaj A, Audigié F, Hatrisse C, Hébert C, Martin P, Marin F, Chateau H. Asymmetry Thresholds Reflecting the Visual Assessment of Forelimb Lameness on Circles on a Hard Surface. Animals (Basel) 2023 Oct 25;13(21).
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