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Home / Equine Research Bank / Equine Vet J / Variation in gait parameters used for objective lameness ass...
Equine veterinary journal2019; 51(6); 831-839; doi: 10.1111/evj.13075

Variation in gait parameters used for objective lameness assessment in sound horses at the trot on the straight line and the lunge.

Abstract: Objective lameness assessment is gaining more importance in a clinical setting, necessitating availability of reference values. Objective: To investigate the between -path, -trial and -day variation, between and within horses, in the locomotion symmetry of horses in regular use that are perceived sound. Methods: Observational study with replicated measurement sessions. Methods: Twelve owner-sound horses were trotted on the straight line and on the lunge. Kinematic data were collected from these horses using 3D optical motion capture. Examinations were repeated on 12 occasions over the study which lasted 42 days in total. For each horse, measurements were grouped as five replicates on the first and second measurement days and two replicates on the third measurement day. Between measurement days 2 and 3, every horse had a break from examination of at least 28 days. Previously described symmetry parameters were calculated: RUD and RDD (Range Up/Down Difference; difference in upward/downward movement between right and left halves of a stride); MinDiff and MaxDiff (difference between the two minima/maxima of the movement); HHDswing and HHDstance (Hip Hike Difference-swing/-stance; difference between the upward movement of the tuber coxae during swingphase/stancephase). Data are described by the between-measurement variation for each parameter. A linear mixed model was used to test for the effect of time, surface and path. Intraclass correlation coefficients (ICC) were calculated to access repeatability. Results: Mean between-measurement variation was (MinDiff, MaxDiff, RUD, RDD): 13, 12, 20, 16 mm (head); 4, 3, 6, 4 mm (withers) and 5, 4, 6, 6 mm (pelvis); (HHDswing, HHDstance): 7 and 7 mm. More between-measurement variation is seen on the first measurement day compared to the second and third measurement days. In general, less variation is seen with increasing number of repetitions. Less between-measurement variation is seen on hard surface compared to soft surface. More between-measurement variation is seen on the circle compared to the straight line. Between-horse variation was clearly larger than within-horse variation. ICC values for the head, withers and pelvis symmetry parameters were 0.68 (head), 0.76 (withers), 0.85 (pelvis). Conclusions: Lunge measurements on a hard surface were not performed. Conclusions: Between-measurement variation may be substantial, especially in head motion. This should be considered when interpreting clinical data after repeated measurements, as in routine lameness assessments.
© 2019 The Authors. Equine Veterinary Journal published by John Wiley & Sons Ltd on behalf of EVJ Ltd.
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Publication Date: 2019-02-12 PubMed ID: 30648286PubMed Central: PMC6850282DOI: 10.1111/evj.13075Google Scholar: Lookup
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  • Journal Article
  • Observational Study
  • Veterinary

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 study aims to increase the accuracy of lameness assessments in horses by evaluating the variances in their gait parameters at a trot on straight and curved paths using a 3D optical motion capture system. The research shows substantial variance in some measurements, particularly head motion, which should be considered in lameness assessments.

Study Methodology

  • The research was an observational study, conducted over twelve sessions in 42 days, using twelve horses perceived as sound by their owners.
  • The horses’ movements were analyzed while they trotted on a straight path and a circular one using a 3D optical motion capture system.
  • The measurements were repeated five times in the first two days and twice on the third day of measurement.
  • A gap of at least 28 days was given between the second and third measurement days.
  • The study used existing symmetry parameters to calculate the differences in the horses’ movements such as RUD and RDD (Range Up/Down Difference), MinDiff and MaxDiff (difference between the two minimum and maximum points of the movement), and HHDswing and HHDstance (the difference in upward movement of the horse’s hip bone during different phases of movement).

Findings

  • The average differences between measurements for each symmetry parameter were 13, 12, 20, 16 mm for the head; 4, 3, 6, 4 mm for the withers (the area between the shoulder blades); and 5, 4, 6, 6 mm for the pelvis. For the HHD symmetry parameters, the differences were 7 mm for both swing and stance phases.
  • Increased variance was observed on the first measurement day as compared to the second and third days, meaning the consistency improved with more repetitions.
  • Differences were lower on hard surfaces compared to softer ones and lower when the horse was on a straight line compared to a curved path.
  • Variations between different horses were found to be considerably larger than variations within individual horses.
  • The Intraclass Correlation Coefficients (ICC), which measure the reliability of ratings within the same class or group, were 0.68 for the head, 0.76 for the withers, and 0.85 for the pelvis.

Conclusions

  • The study did not include lunge measurements on a hard surface.
  • The researchers concluded that there is significant variation in repeated measurements, particularly in the head motion. These findings suggest that variations in measurements should be taken into consideration when performing routine lameness assessments in horses.

Cite This Article

APA
Hardeman AM, Serra Bragança FM, Swagemakers JH, van Weeren PR, Roepstorff L. (2019). Variation in gait parameters used for objective lameness assessment in sound horses at the trot on the straight line and the lunge. Equine Vet J, 51(6), 831-839. https://doi.org/10.1111/evj.13075

Publication

Equine veterinary journal
ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 51
Issue: 6
Pages: 831-839

Researcher Affiliations

Hardeman, A M
  • Tierklinik Luesche GmbH, Luesche, Germany.
  • Department of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Serra Bragança, F M
  • Department of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Swagemakers, J H
  • Tierklinik Luesche GmbH, Luesche, Germany.
van Weeren, P R
  • Department of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Roepstorff, L
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.

MeSH Terms

  • Animals
  • Biomechanical Phenomena
  • Gait / physiology
  • Horses / physiology
  • Lameness, Animal / diagnosis

References

This article includes 25 references
  1. Serra Bragança FM, Rhodin M, van Weeren PR. On the brink of daily clinical application of objective gait analysis: What evidence do we have so far from studies using an induced lameness model?. Vet J 2018 Apr;234:11-23.
    pubmed: 29680381doi: 10.1016/j.tvjl.2018.01.006google scholar: lookup
  2. Dyson S. Recognition of lameness: man versus machine.. Vet J 2014 Sep;201(3):245-8.
    pubmed: 24923757doi: 10.1016/j.tvjl.2014.05.018google scholar: lookup
  3. Arkell M, Archer RM, Guitian FJ, May SA. Evidence of bias affecting the interpretation of the results of local anaesthetic nerve blocks when assessing lameness in horses.. Vet Rec 2006 Sep 9;159(11):346-9.
    pubmed: 16963714doi: 10.1136/vr.159.11.346google scholar: lookup
  4. Parkes RS, Weller R, Groth AM, May S, Pfau T. Evidence of the development of 'domain-restricted' expertise in the recognition of asymmetric motion characteristics of hindlimb lameness in the horse.. Equine Vet J 2009 Feb;41(2):112-7.
    pubmed: 19418737doi: 10.2746/042516408x343000google scholar: lookup
  5. Keegan KG. Evidence-based lameness detection and quantification.. Vet Clin North Am Equine Pract 2007 Aug;23(2):403-23.
    pubmed: 17616320doi: 10.1016/j.cveq.2007.04.008google scholar: lookup
  6. Starke SD, Raistrick KJ, May SA, Pfau T. The effect of trotting speed on the evaluation of subtle lameness in horses.. Vet J 2013 Aug;197(2):245-52.
    pubmed: 23611486doi: 10.1016/j.tvjl.2013.03.006google scholar: lookup
  7. Rhodin M, Roepstorff L, French A, Keegan KG, Pfau T, Egenvall A. Head and pelvic movement asymmetry during lungeing in horses with symmetrical movement on the straight.. Equine Vet J 2016 May;48(3):315-20.
    pmc: PMC5032979pubmed: 25808700doi: 10.1111/evj.12446google scholar: lookup
  8. Poore LAB, Licka TL. A quantitative review of the equinalysis system for equine locomotion analysis. J. Equine. Vet. Sci. 31, 717‐721.
  9. Keegan KG, Kramer J, Yonezawa Y, Maki H, Pai PF, Dent EV, Kellerman TE, Wilson DA, Reed SK. Assessment of repeatability of a wireless, inertial sensor-based lameness evaluation system for horses.. Am J Vet Res 2011 Sep;72(9):1156-63.
    pubmed: 21879972doi: 10.2460/ajvr.72.9.1156google scholar: lookup
  10. AAEP. Guide to Veterinary Services for Horse Shows, 7th edn.. .
  11. Kramer J, Keegan KG, Kelmer G, Wilson DA. Objective determination of pelvic movement during hind limb lameness by use of a signal decomposition method and pelvic height differences.. Am J Vet Res 2004 Jun;65(6):741-7.
    pubmed: 15198212doi: 10.2460/ajvr.2004.65.741google scholar: lookup
  12. Starke SD, Willems E, May SA, Pfau T. Vertical head and trunk movement adaptations of sound horses trotting in a circle on a hard surface.. Vet J 2012 Jul;193(1):73-80.
    pubmed: 22104508doi: 10.1016/j.tvjl.2011.10.019google scholar: lookup
  13. van Weeren PR, Pfau T, Rhodin M, Roepstorff L, Serra Bragança F, Weishaupt MA. Do we have to redefine lameness in the era of quantitative gait analysis?. Equine Vet J 2017 Sep;49(5):567-569.
    pubmed: 28804943doi: 10.1111/evj.12715google scholar: lookup
  14. Dyson S, Greve L. Subjective gait assessment of 57 sports horses in normal work: a comparison of the response to flexion tests, movement in hand, on the lunge, and ridden. J. Equine. Vet. Sci. 38, 1‐7.
  15. Buchner HHF, Savelberg HHCM, Schamhardt HC, Merkens HW, Barneveld A. Habituation of horses to treadmill locomotion. Equine Vet. J. 26, Suppl 17, 13‐15.
  16. Pfau T, Stubbs NC, Kaiser LJ, Brown LE, Clayton HM. Effect of trotting speed and circle radius on movement symmetry in horses during lunging on a soft surface.. Am J Vet Res 2012 Dec;73(12):1890-9.
    pubmed: 23176414doi: 10.2460/ajvr.73.12.1890google scholar: lookup
  17. Buchner HH, Savelberg HH, Schamhardt HC, Barneveld A. Head and trunk movement adaptations in horses with experimentally induced fore- or hindlimb lameness.. Equine Vet J 1996 Jan;28(1):71-6.
    pubmed: 8565958doi: 10.1111/j.2042-3306.1996.tb01592.xgoogle scholar: lookup
  18. Rhodin M, Gómez Alvarez CB, Byström A, Johnston C, van Weeren PR, Roepstorff L, Weishaupt MA. The effect of different head and neck positions on the caudal back and hindlimb kinematics in the elite dressage horse at trot.. Equine Vet J 2009 Mar;41(3):274-9.
    pubmed: 19469235doi: 10.2746/042516409x394436google scholar: lookup
  19. Waldern NM, Wiestner T, von Peinen K, Gómez Alvarez CG, Roepstorff L, Johnston C, Meyer H, Weishaupt MA. Influence of different head-neck positions on vertical ground reaction forces, linear and time parameters in the unridden horse walking and trotting on a treadmill.. Equine Vet J 2009 Mar;41(3):268-73.
    pubmed: 19469234doi: 10.2746/042516409x397389google scholar: lookup
  20. Rhodin M, Persson-Sjodin E, Egenvall A, Serra Bragança FM, Pfau T, Roepstorff L, Weishaupt MA, Thomsen MH, van Weeren PR, Hernlund E. Vertical movement symmetry of the withers in horses with induced forelimb and hindlimb lameness at trot.. Equine Vet J 2018 Nov;50(6):818-824.
    pmc: PMC6175082pubmed: 29658147doi: 10.1111/evj.12844google scholar: lookup
  21. Sepulveda Caviedes MF, Forbes BS, Pfau T. Repeatability of gait analysis measurements in Thoroughbreds in training.. Equine Vet J 2018 Jul;50(4):513-518.
    pubmed: 29284186doi: 10.1111/evj.12802google scholar: lookup
  22. Keegan KG, MacAllister CG, Wilson DA, Gedon CA, Kramer J, Yonezawa Y, Maki H, Pai PF. Comparison of an inertial sensor system with a stationary force plate for evaluation of horses with bilateral forelimb lameness.. Am J Vet Res 2012 Mar;73(3):368-74.
    pubmed: 22369528doi: 10.2460/ajvr.73.3.368google scholar: lookup
  23. Keegan KG, Wilson DA, Kramer J, Reed SK, Yonezawa Y, Maki H, Pai PF, Lopes MA. Comparison of a body-mounted inertial sensor system-based method with subjective evaluation for detection of lameness in horses.. Am J Vet Res 2013 Jan;74(1):17-24.
    pubmed: 23270341doi: 10.2460/ajvr.74.1.17google scholar: lookup
  24. 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).
    pmc: PMC5877382pubmed: 29534022doi: 10.3390/s18030850google scholar: lookup
  25. López-Sanromán FJ, Holmbak-Petersen R, Santiago I, Gómez de Segura IA, Barrey E. Gait analysis using 3D accelerometry in horses sedated with xylazine.. Vet J 2012 Jul;193(1):212-6.
    pubmed: 22082509doi: 10.1016/j.tvjl.2011.10.012google scholar: lookup

Citations

This article has been cited 35 times.
  1. Hobbs SJ, Serra Braganca FM, Rhodin M, Hernlund E, Peterson M, Clayton HM. Evaluating Overall Performance in High-Level Dressage Horse-Rider Combinations by Comparing Measurements from Inertial Sensors with General Impression Scores Awarded by Judges. Animals (Basel) 2023 Aug 2;13(15).
    doi: 10.3390/ani13152496pubmed: 37570304google scholar: lookup
  2. 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).
    doi: 10.3390/ani13030390pubmed: 36766279google scholar: lookup
  3. Timmerman I, Macaire C, Hanne-Poujade S, Bertoni L, Martin P, Marin F, Chateau H. A Pilot Study on the Inter-Operator Reproducibility of a Wireless Sensors-Based System for Quantifying Gait Asymmetries in Horses. Sensors (Basel) 2022 Dec 6;22(23).
    doi: 10.3390/s22239533pubmed: 36502233google scholar: lookup
  4. St George LB, Spoormakers TJP, Smit IH, Hobbs SJ, Clayton HM, Roy SH, van Weeren PR, Richards J, Serra Bragança FM. Adaptations in equine appendicular muscle activity and movement occur during induced fore- and hindlimb lameness: An electromyographic and kinematic evaluation. Front Vet Sci 2022;9:989522.
    doi: 10.3389/fvets.2022.989522pubmed: 36425119google scholar: lookup
  5. Rhodin M, Smit IH, Persson-Sjodin E, Pfau T, Gunnarsson V, Björnsdóttir S, Zetterberg E, Clayton HM, Hobbs SJ, Serra Bragança F, Hernlund E. Timing of Vertical Head, Withers and Pelvis Movements Relative to the Footfalls in Different Equine Gaits and Breeds. Animals (Basel) 2022 Nov 7;12(21).
    doi: 10.3390/ani12213053pubmed: 36359178google scholar: lookup
  6. Feuser AK, Gesell-May S, Müller T, May A. Artificial Intelligence for Lameness Detection in Horses-A Preliminary Study. Animals (Basel) 2022 Oct 17;12(20).
    doi: 10.3390/ani12202804pubmed: 36290189google scholar: lookup
  7. Cock G, Blakeney Z, Hernandez JA, DeNotta S. Opioid-free sedation for atlantoaxial cerebrospinal fluid collection in adult horses. J Vet Intern Med 2022 Sep;36(5):1812-1819.
    doi: 10.1111/jvim.16450pubmed: 35639966google scholar: lookup
  8. Pfau T, Bolt DM, Fiske-Jackson A, Gerdes C, Hoenecke K, Lynch L, Perrier M, Smith RKW. Linear Discriminant Analysis for Investigating Differences in Upper Body Movement Symmetry in Horses before/after Diagnostic Analgesia in Relation to Expert Judgement. Animals (Basel) 2022 Mar 17;12(6).
    doi: 10.3390/ani12060762pubmed: 35327159google scholar: lookup
  9. Pfau T, Scott WM, Sternberg Allen T. Upper Body Movement Symmetry in Reining Quarter Horses during Trot In-Hand, on the Lunge and during Ridden Exercise. Animals (Basel) 2022 Feb 27;12(5).
    doi: 10.3390/ani12050596pubmed: 35268165google scholar: lookup
  10. Clayton H, MacKechnie-Guire R, Byström A, Le Jeune S, Egenvall A. Guidelines for the Measurement of Rein Tension in Equestrian Sport. Animals (Basel) 2021 Sep 30;11(10).
    doi: 10.3390/ani11102875pubmed: 34679895google scholar: lookup
  11. Steinke SL, Montgomery JB, Barden JM. Accelerometry-Based Step Count Validation for Horse Movement Analysis During Stall Confinement. Front Vet Sci 2021;8:681213.
    doi: 10.3389/fvets.2021.681213pubmed: 34239913google scholar: lookup
  12. Marunova E, Dod L, Witte S, Pfau T. Smartphone-Based Pelvic Movement Asymmetry Measures for Clinical Decision Making in Equine Lameness Assessment. Animals (Basel) 2021 Jun 3;11(6).
    doi: 10.3390/ani11061665pubmed: 34204921google scholar: lookup
  13. Byström A, Hardeman AM, Serra Bragança FM, Roepstorff L, Swagemakers JH, van Weeren PR, Egenvall A. Differences in equine spinal kinematics between straight line and circle in trot. Sci Rep 2021 Jun 18;11(1):12832.
    doi: 10.1038/s41598-021-92272-2pubmed: 34145339google scholar: lookup
  14. Hardeman AM, Egenvall A, Serra Bragança FM, Koene MHW, Swagemakers JH, Roepstorff L, van Weeren R, Byström A. Movement asymmetries in horses presented for prepurchase or lameness examination. Equine Vet J 2022 Mar;54(2):334-346.
    doi: 10.1111/evj.13453pubmed: 33862666google scholar: lookup
  15. Hardeman AM, Byström A, Roepstorff L, Swagemakers JH, van Weeren PR, Serra Bragança FM. Range of motion and between-measurement variation of spinal kinematics in sound horses at trot on the straight line and on the lunge. PLoS One 2020;15(2):e0222822.
    doi: 10.1371/journal.pone.0222822pubmed: 32097432google scholar: lookup
  16. Persson-Sjodin E, Hernlund E, Pfau T, Haubro Andersen P, Holm Forsström K, Rhodin M. Effect of meloxicam treatment on movement asymmetry in riding horses in training. PLoS One 2019;14(8):e0221117.
    doi: 10.1371/journal.pone.0221117pubmed: 31408491google scholar: lookup
  17. Korac L, St George L, MacNicol J, McCrae P, Jung L, Golestani N, Karrow N, Cánovas A, Pearson W. Functional and biochemical inflammatory responses to low-dose intra-articular recombinant equine IL-1β: a pilot study. Front Vet Sci 2025;12:1746738.
    doi: 10.3389/fvets.2025.1746738pubmed: 41624292google scholar: lookup
  18. Pfau T, Forbes B, Sepulveda-Caviedes F, Chan Z, Weller R. Exploring Monthly Variation of Gait Asymmetry During In-Hand Trot in Thoroughbred Racehorses in Race Training. Animals (Basel) 2025 Aug 20;15(16).
    doi: 10.3390/ani15162449pubmed: 40867777google scholar: lookup
  19. Shaffer SK, Medjaouri O, Swenson B, Eliason T, Nicolella DP. A Markerless Approach for Full-Body Biomechanics of Horses. Animals (Basel) 2025 Aug 5;15(15).
    doi: 10.3390/ani15152281pubmed: 40805071google scholar: lookup
  20. de Chiara M, Montano C, De Matteis A, Guidi L, Buono F, Auletta L, Del Prete C, Pasolini MP. Agreement between subjective gait assessment and markerless video gait-analysis in endurance horses. Equine Vet J 2026 Jan;58(1):60-67.
    doi: 10.1111/evj.14516pubmed: 40257418google scholar: lookup
  21. Poizat E, Gérard M, Macaire C, De Azevedo E, Denoix JM, Coudry V, Jacquet S, Bertoni L, Tallaj A, Audigié F, Hatrisse C, Hébert C, Martin P, Marin F, Hanne-Poujade S, Chateau H. Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System. Sensors (Basel) 2025 Feb 12;25(4).
    doi: 10.3390/s25041095pubmed: 40006323google scholar: lookup
  22. Siegers EW, Parmentier JIM, Sloet van Oldruitenborgh-Oosterbaan MM, Munsters CCBM, Serra Bragança FM. Gait kinematics at trot before and after repeated ridden exercise tests in young Friesian stallions during a fatiguing 10-week training program. Front Vet Sci 2025;12:1456424.
    doi: 10.3389/fvets.2025.1456424pubmed: 39995550google scholar: lookup
  23. O'Connell E, Dyson S, McLean A, McGreevy P. No More Evasion: Redefining Conflict Behaviour in Human-Horse Interactions. Animals (Basel) 2025 Jan 31;15(3).
    doi: 10.3390/ani15030399pubmed: 39943169google scholar: lookup
  24. Haussler KK, le Jeune SS, MacKechnie-Guire R, Latif SN, Clayton HM. The Challenge of Defining Laterality in Horses: Is It Laterality or Just Asymmetry?. Animals (Basel) 2025 Jan 21;15(3).
    doi: 10.3390/ani15030288pubmed: 39943060google scholar: lookup
  25. Clayton HM, Hobbs SJ, Rhodin M, Hernlund E, Peterson M, Bos R, Bragança FS. Vertical Movement of Head, Withers, and Pelvis of High-Level Dressage Horses Trotting in Hand vs. Being Ridden. Animals (Basel) 2025 Jan 16;15(2).
    doi: 10.3390/ani15020241pubmed: 39858241google scholar: lookup
  26. Valle AP, Brown KA, Reilly P, Ciamillo SA, Davidson EJ, Stefanovski D, Stewart HL, Ortved KF. Effect of video angle on detection of induced front limb lameness in horses. BMC Vet Res 2024 May 3;20(1):172.
    doi: 10.1186/s12917-024-04032-9pubmed: 38702691google scholar: lookup
  27. St George LB, Spoormakers TJP, Hobbs SJ, Clayton HM, Roy SH, Richards J, Serra Bragança FM. Classification performance of sEMG and kinematic parameters for distinguishing between non-lame and induced lameness conditions in horses. Front Vet Sci 2024;11:1358986.
    doi: 10.3389/fvets.2024.1358986pubmed: 38628939google scholar: lookup
  28. Forbes B, Ho W, Parkes RSV, Sepulveda Caviedes MF, Pfau T, Martel DR. Associations between Racing Thoroughbred Movement Asymmetries and Racing and Training Direction. Animals (Basel) 2024 Apr 3;14(7).
    doi: 10.3390/ani14071086pubmed: 38612325google scholar: lookup
  29. Kallerud AS, Marques-Smith P, Bendiksen HK, Fjordbakk CT. Objective movement asymmetry in horses is comparable between markerless technology and sensor-based systems. Equine Vet J 2025 Jan;57(1):115-125.
    doi: 10.1111/evj.14089pubmed: 38566453google scholar: lookup
  30. Pfau T, Clark KS, Bolt DM, Lai JS, Perrier M, Rhodes JB, Smith RK, Fiske-Jackson A. Changes in Head and Pelvic Movement Symmetry after Diagnostic Anaesthesia: Interactions between Subjective Judgement Categories and Commonly Applied Blocks. Animals (Basel) 2023 Dec 6;13(24).
    doi: 10.3390/ani13243769pubmed: 38136806google scholar: lookup
  31. Macaire C, Hanne-Poujade S, De Azevedo E, Denoix JM, Coudry V, Jacquet S, Bertoni L, Tallaj A, Audigié F, Hatrisse C, Hébert C, Martin P, Marin F, Chateau H. Asymmetry Thresholds Reflecting the Visual Assessment of Forelimb Lameness on Circles on a Hard Surface. Animals (Basel) 2023 Oct 25;13(21).
    doi: 10.3390/ani13213319pubmed: 37958073google scholar: lookup
  32. Pfau T, Landsbergen K, Davis BL, Kenny O, Kernot N, Rochard N, Porte-Proust M, Sparks H, Takahashi Y, Toth K, Scott WM. Comparing Inertial Measurement Units to Markerless Video Analysis for Movement Symmetry in Quarter Horses. Sensors (Basel) 2023 Oct 12;23(20).
    doi: 10.3390/s23208414pubmed: 37896509google scholar: lookup
  33. Byström A, Hardeman AM, Engell MT, Swagemakers JH, Koene MHW, Serra-Bragança FM, Rhodin M, Hernlund E. Normal variation in pelvic roll motion pattern during straight-line trot in hand in warmblood horses. Sci Rep 2023 Oct 10;13(1):17117.
    doi: 10.1038/s41598-023-44223-2pubmed: 37816848google scholar: lookup
  34. Bowen AG, Tabor G, Labens R, Randle H. Visually Assessing Equine Quality of Movement: A Survey to Identify Key Movements and Patient-Specific Measures. Animals (Basel) 2023 Sep 5;13(18).
    doi: 10.3390/ani13182822pubmed: 37760222google scholar: lookup
  35. Buser LI, Torelli N, Andreis S, Witte S, Spadavecchia C. Evaluation of the hoof centre-of-pressure path in horses affected by chronic osteoarthritic pain. PLoS One 2023;18(9):e0291630.
    doi: 10.1371/journal.pone.0291630pubmed: 37713390google scholar: lookup
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