Analyze Diet

Disease-specific changes in equine ground reaction force data documented by use of principal component analysis.

Abstract: To assess the force plate as a diagnostic aid in equine locomotor abnormalities, particularly for abnormalities such as navicular disease that do not have specific diagnostic criteria. Methods: 17 Thoroughbreds without observable locomotor abnormalities (group A), 6 Thoroughbreds with superficial digital flexor tendon injury (group B), and 8 Thoroughbreds with navicular disease (group C). Methods: Using a force plate, ground reaction force patterns were recorded at the trot. Peak limb vertical force and force/time curve parameters were derived from 4 identifiable points at the beginning and end of vertical and craniocaudal horizontal plots. Principal component analysis (PCA) of group-A data was undertaken on beginning and end of stride data, and the first 2 components were represented graphically. The PCA rotation matrices were applied to equivalent data for horses of groups B and C. Results: Asymmetry of peak vertical force (PVF) could not be differentiated among groups A, B, and C. Values for group-B horses, however, were significantly outside mean group-A values on the PCA plot for beginning of stride phase variables. Group-B data were within the group-A range for end of stride phase variables. Values for group-C horses were significantly outside the group-A range for beginning of stride phase variables and were outside mean group-A values for end of stride phase variables. Conclusions: PCA of force/time data provides a sensitive method to evaluate the force/time curve associated with 2 specific injury/disease processes. Conclusions: Horses alter weight-bearing in biomechanically distinct ways, thus creating potential for the force plate to become an important diagnostic and prognostic tool.
Publication Date: 1999-05-18 PubMed ID: 10328423
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article
  • Research Support
  • Non-U.S. Gov't
  • Research Support
  • U.S. Gov't
  • Non-P.H.S.

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study explores the effectiveness of using a force plate, a device that measures the ground reaction force exerted by a moving subject, for diagnosing locomotor abnormalities in horses. Particularly, it’s focused on diseases like navicular disease that lack specific diagnostic criteria. This was determined through experiments on thoroughbred horses and the analysis of the recorded ground reaction force patterns.

Research Method

The study involved three groups of thoroughbred horses:

  • Group A consisted of 17 horses presenting no observable locomotor abnormalities.
  • Group B included 6 horses with superficial digital flexor tendon injury.
  • Group C included 8 horses suffering from navicular disease.

The ground reaction force patterns of all groups were recorded using a force plate while they were trotting. The peak limb vertical force and force/time curve parameters were drawn from four points identified at the beginning and the end of vertical and craniocaudal horizontal plots.

A Principal Component Analysis (PCA), commonly used for dimensionality reduction in data, was conducted on the starting and ending stride data of group A horses. The first two principal components were represented graphically. The rotation matrices obtained from the PCA were then applied to the equivalent data of group B and C horses.

Research Findings

The results showed that peak vertical force (PVF) asymmetry could not distinguish between groups A, B, and C. However, the values for horses in group B were significantly outside the average range of group A, specifically in the beginning of stride phase variables.

The data points for group B were within the range of group A for end of stride phase variables. For the horses in group C showing symptoms of navicular disease, the values were significantly outside the range of group A for both beginning and end of stride phase variables.

Conclusions

The researchers concluded that performing a PCA of force/time data provides a sensitive method to evaluate the force/time curve associated with specific injury/disease processes like superficial digital flexor tendon injury and navicular disease. The study found that horses change the way they bear weight in unique ways when they have such diseases, and that analysis of these changes could make the force plate an important tool for both prognosis and diagnosis of such conditions in horses.

Cite This Article

APA
Williams GE, Silverman BW, Wilson AM, Goodship AE. (1999). Disease-specific changes in equine ground reaction force data documented by use of principal component analysis. Am J Vet Res, 60(5), 549-555.

Publication

ISSN: 0002-9645
NlmUniqueID: 0375011
Country: United States
Language: English
Volume: 60
Issue: 5
Pages: 549-555

Researcher Affiliations

Williams, G E
  • Department of Animal Science, De Montfort University, Grantham, England.
Silverman, B W
    Wilson, A M
      Goodship, A E

        MeSH Terms

        • Animals
        • Biomechanical Phenomena
        • Documentation
        • Gait / physiology
        • Horse Diseases / physiopathology
        • Horses
        • Lameness, Animal / physiopathology
        • Locomotion / physiology
        • Reference Values
        • Tendon Injuries / physiopathology
        • Tendon Injuries / veterinary
        • Weight-Bearing

        Citations

        This article has been cited 7 times.
        1. Crecan CM, Peștean CP. Inertial Sensor Technologies-Their Role in Equine Gait Analysis, a Review. Sensors (Basel) 2023 Jul 11;23(14).
          doi: 10.3390/s23146301pubmed: 37514599google scholar: lookup
        2. Madsen LM, Gutierrez-Nibeyro SD, Stewart MC, McCoy AM, Schaeffer DJ. Kinetic Analysis in Horses With Deep Digital Flexor Tendinopathy Within the Digit Diagnosed by Magnetic Resonance Imaging. Front Vet Sci 2022;9:893026.
          doi: 10.3389/fvets.2022.893026pubmed: 35711793google scholar: lookup
        3. Smit IH, Hernlund E, Brommer H, van Weeren PR, Rhodin M, Serra Bragança FM. Continuous versus discrete data analysis for gait evaluation of horses with induced bilateral hindlimb lameness. Equine Vet J 2022 May;54(3):626-633.
          doi: 10.1111/evj.13451pubmed: 34085312google scholar: lookup
        4. Hobbs SJ, Robinson MA, Clayton HM. A simple method of equine limb force vector analysis and its potential applications. PeerJ 2018;6:e4399.
          doi: 10.7717/peerj.4399pubmed: 29492341google scholar: lookup
        5. Mirza MH, Bommala P, Richbourg HA, Rademacher N, Kearney MT, Lopez MJ. Gait Changes Vary among Horses with Naturally Occurring Osteoarthritis Following Intra-articular Administration of Autologous Platelet-Rich Plasma. Front Vet Sci 2016;3:29.
          doi: 10.3389/fvets.2016.00029pubmed: 27148544google scholar: lookup
        6. Hillam RA, Goodship AE, Skerry TM. Peak strain magnitudes and rates in the tibia exceed greatly those in the skull: An in vivo study in a human subject. J Biomech 2015 Sep 18;48(12):3292-8.
        7. Poulet B, de Souza R, Knights CB, Gentry C, Wilson AM, Bevan S, Chang YM, Pitsillides AA. Modifications of gait as predictors of natural osteoarthritis progression in STR/Ort mice. Arthritis Rheumatol 2014 Jul;66(7):1832-42.
          doi: 10.1002/art.38616pubmed: 24623711google scholar: lookup