Accelerometer-based system for the detection of lameness in horses.
Abstract: Video-based kinematic analysis of gait in horses is accurate for quantification of lameness and reliable for identification of the affected limb. Algorithms for the measurement of the vertical head and pelvic displacement and phase correlation with vertical displacement of one forelimb and hindlimb foot have been developed for this purpose. However, because of camera field-of-view limitations, video-based analysis of gait can only be reliably accomplished with the horse constrained to move on a treadmill. This paper describes the use of 2 single-axis accelerometers and 2 gyroscopic transducers as a measurement system for the identification and quantification of forelimb and hindlimb lameness in horses. Vertical head and pelvic acceleration are converted to displacement, lameness is quantified from previously developed algorithms, and affected limb is determined by correlation of head and pelvic signals with gyroscopic signals from the right forelimb and hindlimb feet. Signals from the 4 transducers are telemeterized at 200 Hz and collected to a receiver connected to a lap top computer, freeing the horse from the constraints of a treadmill laboratory setting. In this paper we describe the reliability of this new accelerometer-based system in horses with induced lameness while trotting on a treadmill and freely outside overground.
Publication Date: 2002-06-28 PubMed ID: 12085585
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Summary
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The research article presents a study on the development of a system using accelerometers and gyroscopes to reliably detect and measure lameness in horses. The system allows for application in both treadmill-based and free-moving environments, improving on the limitations of video-based analysis.
Objective of the research
- The main aim for this research was to improve upon previous video-based methods used to detect and quantify lameness in horses. These methods were found to be effective, but had inherent limitations in terms of the field-of-view of the camera, which required horses to be constrained to move on a treadmill.
Methodology
- Instead of video-based analysis, the researchers adopted an accelerometer-based system which also incorporated gyroscopic transducers, with two single-axis accelerometers and two gyroscopic transducers deployed for this study.
- The vertical head and pelvic acceleration in horses were collected and converted into displacement data. This data, along with previously developed algorithms, was used to quantify the lameness in the horses.
- The specific limb affected by lameness was determined by correlating the head and pelvic signals with the gyroscopic signals from the right forelimb and hindlimb feet.
- The signals from the four transducers were relayed at a frequency of 200Hz and collected on a laptop computer, therefore freeing the horse from the constraints of a treadmill laboratory setting.
Results and Analysis
- The accelerometer-based system developed for this study was tested on horses with induced lameness. The system was found to be reliable both while trotting on a treadmill and when freely moving outdoors.
- The new system provided a significant improvement over traditional video-based analysis, as it overcame the primary constraint of requiring the horse to move on a treadmill, hence permitting assessments in more natural and diverse settings.
Cite This Article
APA
Keegan KG, Yonezawa Y, Pai PF, Wilson DA.
(2002).
Accelerometer-based system for the detection of lameness in horses.
Biomed Sci Instrum, 38, 107-112.
Publication
Researcher Affiliations
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO 65211, USA.
MeSH Terms
- Animals
- Biomechanical Phenomena
- Diagnosis, Computer-Assisted
- Equipment Design
- Exercise Test / instrumentation
- Exercise Test / methods
- Gait
- Horse Diseases / diagnosis
- Horses
- Lameness, Animal / diagnosis
- Models, Biological
- Reproducibility of Results
- Signal Processing, Computer-Assisted
- Transducers
- Video Recording / methods
Citations
This article has been cited 8 times.- Lawin FJ, Byström A, Roepstorff C, Rhodin M, Almlöf M, Silva M, Andersen PH, Kjellström H, Hernlund E. Is Markerless More or Less? Comparing a Smartphone Computer Vision Method for Equine Lameness Assessment to Multi-Camera Motion Capture. Animals (Basel) 2023 Jan 24;13(3).
- Zhao J, Marghitu DB, Schumacher J. Tranquilizer effect on the Lyapunov exponents of lame horses. Heliyon 2020 Apr;6(4):e03726.
- Pitts JB, Kramer J, Reed SK, Schiltz P, Thombs L, Keegan KG. Effect of induced hindlimb length difference on body-mounted inertial sensor measures used to evaluate hindlimb lameness in horses. PLoS One 2020;15(2):e0228872.
- Bosch S, Serra Bragança F, Marin-Perianu M, Marin-Perianu R, van der Zwaag BJ, Voskamp J, Back W, van Weeren R, Havinga P. EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait. Sensors (Basel) 2018 Mar 13;18(3).
- Barwick J, Lamb D, Dobos R, Schneider D, Welch M, Trotter M. Predicting Lameness in Sheep Activity Using Tri-Axial Acceleration Signals. Animals (Basel) 2018 Jan 11;8(1).
- Olsen E, Andersen PH, Pfau T. Accuracy and precision of equine gait event detection during walking with limb and trunk mounted inertial sensors. Sensors (Basel) 2012;12(6):8145-56.
- Auer U, Kelemen Z, Vogl C, von Ritgen S, Haddad R, Torres Borda L, Gabmaier C, Breteler J, Jenner F. Development, refinement, and validation of an equine musculoskeletal pain scale. Front Pain Res (Lausanne) 2023;4:1292299.
- Anderson KA, Morrice-West AV, Wong ASM, Walmsley EA, Fisher AD, Whitton RC, Hitchens PL. Poor Association between Facial Expression and Mild Lameness in Thoroughbred Trot-Up Examinations. Animals (Basel) 2023 May 23;13(11).
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