Classification performance of sEMG and kinematic parameters for distinguishing between non-lame and induced lameness conditions in horses.
Abstract: Despite its proven research applications, it remains unknown whether surface electromyography (sEMG) can be used clinically to discriminate non-lame from lame conditions in horses. This study compared the classification performance of sEMG absolute value (sEMGabs) and asymmetry (sEMGasym) parameters, alongside validated kinematic upper-body asymmetry parameters, for distinguishing non-lame from induced fore- (iFL) and hindlimb (iHL) lameness. Bilateral sEMG and 3D-kinematic data were collected from clinically non-lame horses ( = 8) during in-hand trot. iFL and iHL (2-3/5 AAEP) were induced on separate days using a modified horseshoe, with baseline data initially collected each day. sEMG signals were DC-offset removed, high-pass filtered (40 Hz), and full-wave rectified. Normalized, average rectified value (ARV) was calculated for each muscle and stride (sEMGabs), with the difference between right and left-side ARV representing sEMGasym. Asymmetry parameters (MinDiff, MaxDiff, Hip Hike) were calculated from poll, withers, and pelvis vertical displacement. Receiver-operating-characteristic (ROC) and area under the curve (AUC) analysis determined the accuracy of each parameter for distinguishing baseline from iFL or iHL. Both sEMG parameters performed better for detecting iHL (0.97 ≥ AUC ≥ 0.48) compared to iFL (0.77 ≥ AUC ≥ 0.49). sEMGabs performed better (0.97 ≥ AUC ≥ 0.49) than sEMGasym (0.76 ≥ AUC ≥ 0.48) for detecting both iFL and iHL. Like previous studies, MinDiff Poll and Pelvis asymmetry parameters (MinDiff, MaxDiff, Hip Hike) demonstrated excellent discrimination for iFL and iHL, respectively (AUC > 0.95). Findings support future development of multivariate lameness-detection approaches that combine kinematics and sEMG. This may provide a more comprehensive approach to diagnosis, treatment, and monitoring of equine lameness, by measuring the underlying functional cause(s) at a neuromuscular level.
Copyright © 2024 St. George, Spoormakers, Hobbs, Clayton, Roy, Richards and Serra Bragança.
Publication Date: 2024-04-02 PubMed ID: 38628939PubMed Central: PMC11018915DOI: 10.3389/fvets.2024.1358986Google Scholar: Lookup
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Summary
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This research paper explores whether surface electromyography (sEMG), a method of recording muscle activity, can be used alongside kinematic parameters to clinically detect lameness in horses, comparing performance between detecting non-lame, as well as forelimb (iFL) and hindlimb (iHL) lameness. The study supports the future development of multivariate lameness-detection approaches that combine kinematics and sEMG for a more comprehensive diagnosis and treatment monitoring of equine lameness.
Understanding Surface Electromyography (sEMG)
- Surface electromyography (sEMG) is a technique used for detecting, measuring, and recording the electrical activity produced by skeletal muscles. While this method has proven research applications, previous studies have yet to show whether sEMG can be used to discern lame from non-lame conditions in horses in a clinical setting.
Study Execution
- The study was conducted on clinically non-lame horses, collecting bilateral sEMG and 3D-kinematic data during trot. Lameness in forelimb and hindlimb was induced on separate days with the use of a modified horseshoe.
- sEMG signals were processed, with both absolute value (sEMGabs) and asymmetry (sEMGasym) parameters calculated. Furthermore, validated asymmetry parameters were computed from poll, withers, and pelvis vertical displacement.
Criterion for Distinguishing Between Lameness Conditions
- The effectiveness of each parameter for distinguishing between non-lame and both iFL and iHL conditions was determined using Receiver-operating-characteristic (ROC) and area under the curve (AUC) analysis. The AUC reflects the parameter’s accuracy. Here, an AUC value of 1 signifies perfect accuracy.
Findings: sEMG Versus Kinematic Parameters
- The study accrued greater AUC values for detecting hindlimb lameness over forelimb lameness, using both sEMG parameters. The absolute parameter (sEMGabs) outdid the asymmetry parameter (sEMGasym).
- Traditionally used kinematic parameters continued to demonstrate excellent discrimination abilities for both forelimb and hindlimb lameness, reflected in AUC values greater than 0.95.
- The results of this study give credence to the potential value of combining kinematic parameters with sEMG for an enhanced, wide-ranging approach to identifying and monitoring lameness in horses. By giving attention to the functional causes of lameness at a neuromuscular level, the combined approach could avail a more thorough understanding, enabling comprehensive diagnosis and treatment.
Cite This Article
APA
St George LB, Spoormakers TJP, Hobbs SJ, Clayton HM, Roy SH, Richards J, Serra Bragança FM.
(2024).
Classification performance of sEMG and kinematic parameters for distinguishing between non-lame and induced lameness conditions in horses.
Front Vet Sci, 11, 1358986.
https://doi.org/10.3389/fvets.2024.1358986 Publication
Researcher Affiliations
- Research Centre for Applied Sport, Physical Activity and Performance, University of Central Lancashire, Preston, United Kingdom.
- Department of Clinical Sciences, Equine Department, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
- Research Centre for Applied Sport, Physical Activity and Performance, University of Central Lancashire, Preston, United Kingdom.
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI, United States.
- Delsys/Altec Inc., Natick, MA, United States.
- Allied Health Research Unit, University of Central Lancashire, Preston, United Kingdom.
- Department of Clinical Sciences, Equine Department, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
Conflict of Interest Statement
SR is employed by Delsys/Altec Inc., the manufacturers of the sEMG sensors used in this study. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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