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Home / Equine Research Bank / Sensors (Basel) / Stance Phase Detection by Inertial Measurement Unit Placed o...
Sensors (Basel, Switzerland)2022; 22(3); doi: 10.3390/s22030703

Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles.

Abstract: The development of on-board technologies has enabled the development of quantification systems to monitor equine locomotion parameters. Their relevance among others relies on their ability to determine specific locomotor events such as foot-on and heel-off events. The objective of this study was to compare the accuracy of different methods for an automatic gait events detection from inertial measurement units (IMUs). IMUs were positioned on the cannon bone, hooves, and withers of seven horses trotting on hard and soft straight lines and circles. Longitudinal acceleration and angular velocity around the latero-medial axis of the cannon bone, and withers dorso-ventral displacement data were identified to tag the foot-on and a heel-off events. The results were compared with a reference method based on hoof-mounted-IMU data. The developed method showed bias less than 1.79%, 1.46%, 3.45% and -1.94% of stride duration, respectively, for forelimb foot-on and heel-off, and for hindlimb foot-on and heel-off detection, compared to our reference method. The results of this study showed that the developed gait-events detection method had a similar accuracy to other methods developed for straight line analysis and extended this validation to other types of exercise (circles) and ground surface (soft surface).
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Publication Date: 2022-01-18 PubMed ID: 35161452PubMed Central: PMC8840150DOI: 10.3390/s22030703Google Scholar: Lookup
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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.

This research study focuses on the use of new technologies to monitor the movement parameters of horses, specifically during the stance phase of trotting, using Inertial Measurement Units (IMUs) placed on different parts of the horse. The researchers compare various methods of detecting gait events from the IMUs’ data, and their accuracy on different types of terrain and exercise patterns.

Objective of the Study

  • The main goal of this research was to determine the most effective method of detecting equine locomotor events – specifically foot-on and heel-off instances – through the application of IMUs. These detection methods were tested on different parts of the horse’s body, encompassing the cannon bone, hooves, and withers, under different gaits and terrains.

Methodology

  • Seven horses were equipped with IMUs on their cannon bones, hooves, and withers. The devices detected foot-on and heel-off events during trotting sequences on both hard and soft straight surfaces and circles.
  • The longitudinal acceleration and angular velocity data of the horses’ latero-medial axis of the cannon bone, and withers dorso-ventral displacement data were recorded to indicate when foot-on and heel-off events occurred.
  • The results were then compared to a reference method which used hoof-mounted IMU data.

Results

  • The newly developed method showed a relatively low bias – less than 1.79% for forelimb foot-on detection, 1.46% for forelimb heel-off, 3.45% for hindlimb foot-on, and -1.94% for hindlimb heel-off – in comparison to the reference method.
  • The findings showed that the new gait-events detection method was akin in accuracy to other techniques tailored for straight-line analysis, while extending its validation to gauge other exercise forms such as circular movement and different ground surfaces, like softer ones.

Conclusion

  • These findings highlight the potential for IMU technology to be used for monitoring and analyzing equine locomotion in a variety of circumstances.
  • This can be particularly useful for professional horse trainers and veterinarians, who can use this data to improve performance, prevent injury, and facilitate treatments in horses.

Cite This Article

APA
Hatrisse C, Macaire C, Sapone M, Hebert C, Hanne-Poujade S, De Azevedo E, Marin F, Martin P, Chateau H. (2022). Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles. Sensors (Basel), 22(3). https://doi.org/10.3390/s22030703

Publication

Sensors (Basel, Switzerland)
ISSN: 1424-8220
NlmUniqueID: 101204366
Country: Switzerland
Language: English
Volume: 22
Issue: 3

Researcher Affiliations

Hatrisse, Chloé
  • Ecole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
Macaire, Claire
  • Ecole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
  • LIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
  • Université de Technologie de Compiègne (UTC), UMR CNRS 7338 BioMécanique et BioIngénierie, Alliance Sorbonne Université, 60200 Compiegne, France.
Sapone, Marie
  • LIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Hebert, Camille
  • LIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Hanne-Poujade, Sandrine
  • LIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
De Azevedo, Emeline
  • Ecole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.
Marin, Frederic
  • Université de Technologie de Compiègne (UTC), UMR CNRS 7338 BioMécanique et BioIngénierie, Alliance Sorbonne Université, 60200 Compiegne, France.
Martin, Pauline
  • LIM France, Chemin Fontaine de Fanny, 24300 Nontron, France.
Chateau, Henry
  • Ecole Nationale Vétérinaire d'Alfort, USC INRAE-ENVA 957 BPLC, CWD-VetLab, 94700 Maisons-Alfort, France.

MeSH Terms

  • Animals
  • Biomechanical Phenomena
  • Forelimb
  • Gait
  • Hoof and Claw
  • Horses
  • Metacarpus

Conflict of Interest Statement

The project was supported by the Agence Nationale de la Recherche (ANR) which sponsors a collaborative project between a company (LIM France) and the Ecole Nationale Vétérinaire d’Alfort (ENVA).

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