Methods, applications and limitations of gait analysis in horses.
Abstract: Over the last 30 years, the increase in interest in horses for racing and riding activities has stimulated scientific research in equine locomotion. This paper presents a review of the measurement methods and their applications used to assess equine locomotion. After describing gaits and velocity-related changes in stride variables, the current applications of gait analysis are presented. The economic consequences of lameness justifies the great effort now being put into lameness quantification and prevention. To improve breeding and reduce the costs of training, early performance evaluation tests for each discipline are proposed. After extensive fundamental and methodological research on the various aspects of equine locomotion, the horse industry should benefit from the applications of gait analysis by improving the profitability of racing and riding activities.
Publication Date: 1999-02-25 PubMed ID: 10030124DOI: 10.1053/tvjl.1998.0297Google Scholar: Lookup
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Summary
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This research article reviews the methods and applications of equine gait analysis, a technique used to understand horse locomotion for their better performance in activities such as racing and riding. The study also justifies the need for such a technique due to the economic implications of lameness, and the potential benefits it can offer to the horse industry.
Understanding Equine Gait Analysis
- The article begins by discussing the increased interest in horses over the last 30 years for racing and riding activities.
- This interest has led to a higher demand for scientific research to understand equine locomotion better.
- The focus of this paper is to review the measurement methods used to assess equine locomotion, specifically gait analysis.
Introduction to Gaits and Stride Variables
- The authors dive into the different kinds of gaits (ways in which a horse moves) and stride variables (specific factors related to a horse’s movement).
- Understanding these aspects are critical as changes in these variables are often associated with a horse’s velocity or speed.
Applications of Gait Analysis in the Horse Industry
- Gait analysis can have significant applications in the horse industry, primarily regarding lameness, which refers to any abnormality in a horse’s gait due to injury or disease.
- Flat-out lameness can have serious economic consequences, signifying the need for strategies to quantify and prevent such conditions effectively.
- That’s where gait analysis comes in—it serves as a powerful tool to understand abnormalities early on, assisting in effective prevention strategies.
The Benefit of Early Performance Evaluation Tests
- The paper suggests early performance evaluation tests for different disciplines to improve breeding and reduce training costs.
- By being able to identify potential issues early on, trainers can alter their strategies accordingly to prevent injuries and provide specific care the horses need.
The Potential Impact on the Horse Industry
- The authors conclude by discussing the impact gait analysis could have on the horse industry, especially with regards to profitability.
- The technique could help improve race outcomes, enhance horse rehabilitation processes, and promote healthier horses overall – all of which could result in economic advantages for the industry.
Cite This Article
APA
Barrey E.
(1999).
Methods, applications and limitations of gait analysis in horses.
Vet J, 157(1), 7-22.
https://doi.org/10.1053/tvjl.1998.0297 Publication
Researcher Affiliations
- INRA, Station de Génétique Quantitative et Appliquée, Groupe cheval, Jouy-en-Josas, France. ugeneba@dga2.jouy.inra.fr
MeSH Terms
- Animals
- Biomechanical Phenomena
- Gait / physiology
- Horse Diseases
- Horses / physiology
- Lameness, Animal
- Locomotion / physiology
References
This article includes 120 references
Citations
This article has been cited 13 times.- Zupan Šemrov M, Přibylová L, Gobbo E. Task-specific morphological and kinematic differences in Lipizzan horses. Front Vet Sci 2025;12:1569067.
- Aoun R, Ogunmola Z, Musso A, Taguchi T, Takawira C, Lopez MJ. Shoe configuration effects on equine forelimb gait kinetics at a walk. PeerJ 2025;13:e18940.
- Aygül C, Güven C, Frunzi SA, Katz BJ, Nemitz MP. A framework for soft mechanism driven robots. Nat Commun 2025 Feb 7;16(1):1426.
- Biau S, Leblanc M, Pycik E, Pasquiet B, Huet B. Biomechanical Characterization of Preparation for Airs above the Ground: A Mixed Approach. Animals (Basel) 2024 Jan 6;14(2).
- Hatrisse C, Macaire C, Hebert C, Hanne-Poujade S, De Azevedo E, Audigié F, Ben Mansour K, Marin F, Martin P, Mezghani N, Chateau H, Chèze L. A Method for Quantifying Back Flexion/Extension from Three Inertial Measurement Units Mounted on a Horse's Withers, Thoracolumbar Region, and Pelvis. Sensors (Basel) 2023 Dec 5;23(24).
- Darbandi H, Munsters C, Parmentier J, Havinga P. Detecting fatigue of sport horses with biomechanical gait features using inertial sensors. PLoS One 2023;18(4):e0284554.
- Feuser AK, Gesell-May S, Müller T, May A. Artificial Intelligence for Lameness Detection in Horses-A Preliminary Study. Animals (Basel) 2022 Oct 17;12(20).
- Wantanajittikul K, Thitaram C, Khammesri S, Kongsawasdi S. Development of a Protocol for Biomechanical Gait Analysis in Asian Elephants Using the Triaxial Inertial Measurement Unit (IMU). Vet Sci 2022 Aug 15;9(8).
- Hatrisse C, Macaire C, Sapone M, Hebert C, Hanne-Poujade S, De Azevedo E, Marin F, Martin P, Chateau H. Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles. Sensors (Basel) 2022 Jan 18;22(3).
- Ricard A, Dumont Saint Priest B, Chassier M, Sabbagh M, Danvy S. Genetic consistency between gait analysis by accelerometry and evaluation scores at breeding shows for the selection of jumping competition horses. PLoS One 2020;15(12):e0244064.
- Sapone M, Martin P, Ben Mansour K, Château H, Marin F. Comparison of Trotting Stance Detection Methods from an Inertial Measurement Unit Mounted on the Horse's Limb. Sensors (Basel) 2020 May 25;20(10).
- De Vidts S, Méndez-Olivos E, Palacios M, Larraín J, Mery D. Characterization of spinal cord damage based on automatic video analysis of froglet swimming. Biol Open 2019 Dec 24;8(12).
- Viry S, Sleimen-Malkoun R, Temprado JJ, Frances JP, Berton E, Laurent M, Nicol C. Patterns of horse-rider coordination during endurance race: a dynamical system approach. PLoS One 2013;8(8):e71804.
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