» Articles » PMID: 39771905

Applying Multi-Purpose Commercial Inertial Sensors for Monitoring Equine Locomotion in Equestrian Training

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2025 Jan 8
PMID 39771905
Authors
Affiliations
Soon will be listed here.
Abstract

Inappropriate, excessive, or overly strenuous training of sport horses can result in long-term injury, including the premature cessation of a horse's sporting career. As a countermeasure, this study demonstrates the easy implementation of a biomechanical load monitoring system consisting of five commercial, multi-purpose inertial sensor units non-invasively attached to the horse's distal limbs and trunk. From the data obtained, specific parameters for evaluating gait and limb loads are derived, providing the basis for objective exercise load management and successful injury prevention. Applied under routine in-the-field training conditions, our pilot study results show that tri-axial peak impact limb load increases progressively from walk to trot to canter, in analogy to stride frequency. While stance and swing phases shorten systematically with increasing riding speed across subjects, longitudinal and lateral load asymmetry are affected by gait at an individual level, revealing considerable variability between and within individual horses. This individualized, everyday approach facilitates gaining valuable insights into specific training effects and responses to changing environmental factors in competitive sport horses. It promises to be of great value in optimizing exercise management in equestrian sports to benefit animal welfare and long-term health in the future.

References
1.
Greve L, Pfau T, Dyson S . Thoracolumbar movement in sound horses trotting in straight lines in hand and on the lunge and the relationship with hind limb symmetry or asymmetry. Vet J. 2017; 220:95-104. DOI: 10.1016/j.tvjl.2017.01.003. View

2.
Bosch S, Braganca F, Marin-Perianu M, Marin-Perianu R, van der Zwaag B, Voskamp J . EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait. Sensors (Basel). 2018; 18(3). PMC: 5877382. DOI: 10.3390/s18030850. View

3.
Parmentier J, Bosch S, van der Zwaag B, Weishaupt M, Gmel A, Havinga P . Prediction of continuous and discrete kinetic parameters in horses from inertial measurement units data using recurrent artificial neural networks. Sci Rep. 2023; 13(1):740. PMC: 9839734. DOI: 10.1038/s41598-023-27899-4. View

4.
Hildebrand M . Symmetrical gaits of horses. Science. 1965; 150(3697):701-8. DOI: 10.1126/science.150.3697.701. View

5.
Calle-Gonzalez N, Lo Feudo C, Ferrucci F, Requena F, Stucchi L, Munoz A . Objective Assessment of Equine Locomotor Symmetry Using an Inertial Sensor System and Artificial Intelligence: A Comparative Study. Animals (Basel). 2024; 14(6). PMC: 10967470. DOI: 10.3390/ani14060921. View