Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System

Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System

Lameness detection in horses is a critical challenge in equine veterinary practice, particularly when symptoms are mild. This study aimed to develop a predictive system using a support vector machine (SVM) to identify the affected limb in horses trotting in a straight line. The system analyzed data...

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Bibliographic Details
Main Authors: Emma Poizat, Mahaut Gérard, Claire Macaire, Emeline De Azevedo, Jean-Marie Denoix, Virginie Coudry, Sandrine Jacquet, Lélia Bertoni, Amélie Tallaj, Fabrice Audigié, Chloé Hatrisse, Camille Hébert, Pauline Martin, Frédéric Marin, Sandrine Hanne-Poujade, Henry Chateau
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
horse
lameness
symmetry
straight-line
inertial measurement unit
machine learning
Online Access:https://www.mdpi.com/1424-8220/25/4/1095
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