Analyze Diet
Equine veterinary journal. Supplement1997; (23); 45-49; doi: 10.1111/j.2042-3306.1997.tb05052.x

Analysis of the equine jumping technique by accelerometry.

Abstract: The purpose of this study was to demonstrate the relationships between jumping technique and dorsoventral acceleration measured at the sternum. Eight saddle horses of various jumping abilities competed on a selective experimental show jumping course including 14 obstacles. An accelerometric belt fastened onto the thorax continuously measured the dorsoventral acceleration during the course. At each jump, 11 locomotor parameters (acceleration peaks, durations and stride frequency) were obtained from the dorsoventral acceleration-time curves. The type of obstacle significantly influenced the hindlimb acceleration peak at take-off and the landing acceleration peak (P<0.01). The poor jumpers exhibited a higher mean forelimb acceleration peak at take-off, a higher forelimb/hindlimb ratio between peaks of acceleration (F/H), and a lower approach stride frequency than good jumpers. Knocking over an obstacle was significantly associated with a low hindlimb acceleration peak at take-off and a high F/H ratio (P<0.01). In order to observe the continuous changes in the frequency domain of the dorsoventral acceleration during the approach and take-off phase, a Morlet's wavelet analysis was computed for each horse jumping over a series of 3 vertical obstacles. Different patterns of time-frequency images obtained by wavelet analysis were found when the horse either knocked over a vertical obstacle or cleared it. In the latter case, the image pattern showed an instantaneous increase in stride frequency at the end of the approach phase, and a marked energy content in the middle frequency range at take-off.
Publication Date: 1997-05-01 PubMed ID: 9354288DOI: 10.1111/j.2042-3306.1997.tb05052.xGoogle Scholar: Lookup
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

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 investigates the correlation between a horse’s jumping technique and the dorsoventral acceleration (movement in the up-down direction) detected at the sternum. Using a specialty belt with an accelerometer, the research records locomotor data from eight different horses while they navigate a show jumping course with 14 obstacles.

Methodology

  • An experimental show jumping course was set up with 14 obstacles of varying difficulty.
  • Eight saddle horses displaying a range of jumping abilities participated in the experiment.
  • An accelerometer belt was securely fastened to the thorax of each horse to monitor the dorsoventral acceleration occurring throughout the course.
  • During each jump, 11 different locomotor parameters were recorded from the dorsoventral acceleration-time curves. These parameters included acceleration peaks, duration of the jumps and stride frequency.

Results

The research discovered that the type of obstacle significantly affected both the peak of hindlimb acceleration at the moment of take-off and the peak of acceleration at landing. Poor jumpers were identified by higher forelimb acceleration peaks at take-off, a higher ratio between forelimb and hindlimb acceleration peaks, and a lower stride frequency during the approach to a jump when compared to successful jumpers. Knocking over an obstacle was connected with a low hindlimb acceleration peak at take-off and a high ratio between forelimb and hindlimb acceleration peaks.

Wavelet Analysis

The wavelet analysis applied in the study allowed observation of the consistent changes in the frequency domain of the dorsoventral acceleration during the approach and take-off phases. Strikingly different patterns were shown on the time-frequency images generated by the wavelet analysis when a horse cleared a vertical obstacle compared to when it knocked one over. When a jump was successful, there was an instant increase in stride frequency towards the end of the approach phase and significant energy content in the middle frequency range at take-off.

Cite This Article

APA
Barrey E, Galloux P. (1997). Analysis of the equine jumping technique by accelerometry. Equine Vet J Suppl(23), 45-49. https://doi.org/10.1111/j.2042-3306.1997.tb05052.x

Publication

NlmUniqueID: 9614088
Country: United States
Language: English
Issue: 23
Pages: 45-49

Researcher Affiliations

Barrey, E
  • INRA Station de Génétique Quantitative et Appliquée, Groupe cheval, Jouy-en-Josas, France.
Galloux, P

    MeSH Terms

    • Acceleration
    • Analysis of Variance
    • Animals
    • Forelimb / physiology
    • Hindlimb / physiology
    • Horses / physiology
    • Locomotion / physiology
    • Movement / physiology
    • Time Factors

    Citations

    This article has been cited 10 times.
    1. Fercher C, Bartsch J, Kluge S, Schneider F, Liedtke AM, Schleichardt A, Ueberschär O. Applying Multi-Purpose Commercial Inertial Sensors for Monitoring Equine Locomotion in Equestrian Training. Sensors (Basel) 2024 Dec 21;24(24).
      doi: 10.3390/s24248170pubmed: 39771905google scholar: lookup
    2. Wonghanchao T, Huangsaksri O, Sanigavatee K, Poochipakorn C, Chanprame S, Wongkosoljit S, Chotiyothin W, Rattanayanon N, Kiawwan R, Chanda M. Autonomic regulation in athletic horses repetitively participating in two novice jumping classes on consecutive days. Front Vet Sci 2024;11:1456733.
      doi: 10.3389/fvets.2024.1456733pubmed: 39502949google scholar: lookup
    3. Saitua A, Castejón-Riber C, Requena F, Argüelles D, Calle-González N, de Medina AS, Muñoz A. Previous Exercise on a Water Treadmill at Different Depths Affects the Accelerometric Pattern Recorded on a Track in Horses. Animals (Basel) 2022 Nov 9;12(22).
      doi: 10.3390/ani12223086pubmed: 36428314google scholar: lookup
    4. Kirsch K, Fercher C, Horstmann S, von Reitzenstein C, Augustin J, Lagershausen H. Monitoring Performance in Show Jumping Horses: Validity of Non-specific and Discipline-specific Field Exercise Tests for a Practicable Assessment of Aerobic Performance. Front Physiol 2021;12:818381.
      doi: 10.3389/fphys.2021.818381pubmed: 35095574google scholar: lookup
    5. St George L, Clayton HM, Sinclair J, Richards J, Roy SH, Hobbs SJ. Muscle Function and Kinematics during Submaximal Equine Jumping: What Can Objective Outcomes Tell Us about Athletic Performance Indicators?. Animals (Basel) 2021 Feb 5;11(2).
      doi: 10.3390/ani11020414pubmed: 33562875google scholar: lookup
    6. Argüelles D, Becero M, Muñoz A, Saitua A, Ramón T, Gascón E, Sánchez de Medina A, Prades M. Accelerometric Changes before and after Capacitive Resistive Electric Transfer Therapy in Horses with Thoracolumbar Pain Compared to a SHAM Procedure. Animals (Basel) 2020 Dec 5;10(12).
      doi: 10.3390/ani10122305pubmed: 33291357google scholar: lookup
    7. Ricard A, Dumont Saint Priest B, Danvy S, Barrey E. Accelerometers Provide Early Genetic Selection Criteria for Jumping Horses. Front Genet 2020;11:448.
      doi: 10.3389/fgene.2020.00448pubmed: 32508876google scholar: lookup
    8. Saitua A, Becero M, Argüelles D, Castejón-Riber C, Sánchez de Medina A, Satué K, Muñoz A. Combined Effects of Water Depth and Velocity on the Accelerometric Parameters Measured in Horses Exercised on a Water Treadmill. Animals (Basel) 2020 Feb 3;10(2).
      doi: 10.3390/ani10020236pubmed: 32028600google scholar: lookup
    9. Becero M, Saitua A, Argüelles D, Sánchez de Medina AL, Castejón-Riber C, Riber C, Muñoz A. Capacitive resistive electric transfer modifies gait pattern in horses exercised on a treadmill. BMC Vet Res 2020 Jan 9;16(1):10.
      doi: 10.1186/s12917-020-2233-xpubmed: 31918723google scholar: lookup
    10. Hayati H, Mahdavi F, Eager D. Analysis of Agile Canine Gait Characteristics Using Accelerometry. Sensors (Basel) 2019 Oct 10;19(20).
      doi: 10.3390/s19204379pubmed: 31658731google scholar: lookup