Analyze Diet
Animals : an open access journal from MDPI2021; 11(6); 1665; doi: 10.3390/ani11061665

Smartphone-Based Pelvic Movement Asymmetry Measures for Clinical Decision Making in Equine Lameness Assessment.

Abstract: Visual evaluation of hindlimb lameness in the horse is challenging. Objective measurements, simultaneous to visual assessment, are used increasingly to aid clinical decision making. The aim of this study was to investigate the association of pelvic movement asymmetry with lameness scores (UK scale 0-10) of one experienced veterinarian. Absolute values of pelvic asymmetry measures, quantifying differences between vertical minima (AbPDMin), maxima (AbPDMax) and upward movement amplitudes (AbPDUp), were recorded during straight-line trot with a smartphone attached to the sacrum ( = 301 horses). Overall, there was a significant difference between lameness grades for all three asymmetry measures ( < 0.001). Five pair-wise differences (out of 10) were significant for AbPDMin ( ≤ 0.02) and seven for AbPDMax ( ≤ 0.03) and AbPDUp ( ≤ 0.02). Receiver operating curves assessed sensitivity and specificity of asymmetry measures against lameness scores. AbPDUp had the highest discriminative power (area under curve (AUC) = 0.801-0.852) followed by AbPDMax (AUC = 0.728-0.813) and AbPDMin (AUC = 0.688-0.785). Cut-off points between non-lame (grade 0) and lame horses (grades 1-4) with a minimum sensitivity of 75% were identified as AbPDUp ≥ 7.5 mm (67.6% specificity), AbPDMax ≥ 4.5 mm (51.9% specificity) and AbPDMin ≥ 2.5 mm (33.3% specificity). In conclusion, pelvic upward movement amplitude difference (AbPDUp) was the asymmetry parameter with the highest discriminative power in this study.
Publication Date: 2021-06-03 PubMed ID: 34204921PubMed Central: PMC8228485DOI: 10.3390/ani11061665Google 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

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 research explores the correlation between smartphone-measured pelvic movement asymmetry and lameness in horses, with findings revealing significant differences across lameness grades for all three measures of asymmetry examined.

Overview and Objective of the Study

  • The study aimed to investigate the association between the asymmetry of pelvic movement and the lameness scores in horses.
  • This research was intended to provide a more objective means of diagnosing hindlimb lameness in horses, which is typically visually assessed and therefore can be subject to bias.

Research Approach

  • The researchers utilized a smartphone attached to the horse’s sacrum, or lower back area, to measure pelvic asymmetry during a straight-line trot.
  • They examined three aspects of pelvic asymmetry: differences in the lowest point of downward movement (AbPDMin), the highest point of upward movement (AbPDMax), and the overall amplitude of upward movement (AbPDUp).

Findings

  • The findings revealed a significant difference across lameness grades for all three asymmetry measures.
  • The study was able to determine a specific cut-off point for each pelvic asymmetry measurement, where anything beyond these values could indicate lameness.

Conclusions

  • The results showed that the difference in pelvic upward movement amplitude (AbPDUp) had the highest discriminative power, meaning it was the most consistent indicator of lameness.
  • This technique offers a more objective method of assessing lameness beyond mere visual assessment, potentially aiding better clinical decision making in the treatment and management of equine lameness.

Cite This Article

APA
Marunova E, Dod L, Witte S, Pfau T. (2021). Smartphone-Based Pelvic Movement Asymmetry Measures for Clinical Decision Making in Equine Lameness Assessment. Animals (Basel), 11(6), 1665. https://doi.org/10.3390/ani11061665

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 11
Issue: 6
PII: 1665

Researcher Affiliations

Marunova, Eva
  • Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, Hatfield AL9 7 TA, UK.
Dod, Leea
  • Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, Hatfield AL9 7 TA, UK.
Witte, Stefan
  • Tierklinik Schönbühl AG, Oberdorfstrasse 1, 3322 Schönbühl, Switzerland.
Pfau, Thilo
  • Department of Clinical Science and Services, The Royal Veterinary College, Hawkshead Lane, Hatfield AL9 7 TA, UK.

Conflict of Interest Statement

T.P. is the owner of EquiGait Ltd., providing gait analysis products and services. S.W. is the owner of Tierklinik Schönbühl AG.

References

This article includes 33 references
  1. Fuller CJ, Bladon BM, Driver AJ, Barr AR. The intra- and inter-assessor reliability of measurement of functional outcome by lameness scoring in horses.. Vet J 2006 Mar;171(2):281-6.
    doi: 10.1016/j.tvjl.2004.10.012pubmed: 16490710google scholar: lookup
  2. 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.
    doi: 10.1016/j.tvjl.2018.01.006pubmed: 29680381google scholar: lookup
  3. Egan S, Brama P, McGrath D. Research trends in equine movement analysis, future opportunities and potential barriers in the digital age: A scoping review from 1978 to 2018.. Equine Vet J 2019 Nov;51(6):813-824.
    doi: 10.1111/evj.13076pubmed: 30659639google scholar: lookup
  4. 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.
    doi: 10.2460/ajvr.72.9.1156pubmed: 21879972google scholar: lookup
  5. Pfau T, Weller R. Comparison of a standalone consumer grade smartphone with a specialist inertial measurement unit for quantification of movement symmetry in the trotting horse.. Equine Vet J 2017 Jan;49(1):124-129.
    doi: 10.1111/evj.12529pubmed: 26518143google scholar: lookup
  6. Starke SD, Oosterlinck M. Reliability of equine visual lameness classification as a function of expertise, lameness severity and rater confidence.. Vet Rec 2019 Jan 12;184(2):63.
    doi: 10.1136/vr.105058pubmed: 30242083google scholar: lookup
  7. Baxter G.M. Adams and Stashak’s Lameness in Horses. John Wiley & Sons; Hoboken, NJ, USA: 2020.
  8. May SA, Wyn-Jones G. Identification of hindleg lameness.. Equine Vet J 1987 May;19(3):185-8.
  9. Uhlir C, Licka T, Kübber P, Peham C, Scheidl M, Girtler D. Compensatory movements of horses with a stance phase lameness.. Equine Vet J Suppl 1997 May;(23):102-5.
  10. Buchner F, Kastner J, Girtler D, Knezevic PF. Quantification of hind limb lameness in the horse.. Acta Anat (Basel) 1993;146(2-3):196-9.
    doi: 10.1159/000147446pubmed: 8470467google scholar: lookup
  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.
    doi: 10.2460/ajvr.2004.65.741pubmed: 15198212google scholar: lookup
  12. McCracken MJ, Kramer J, Keegan KG, Lopes M, Wilson DA, Reed SK, LaCarrubba A, Rasch M. Comparison of an inertial sensor system of lameness quantification with subjective lameness evaluation.. Equine Vet J 2012 Nov;44(6):652-6.
  13. Bell RP, Reed SK, Schoonover MJ, Whitfield CT, Yonezawa Y, Maki H, Pai PF, Keegan KG. Associations of force plate and body-mounted inertial sensor measurements for identification of hind limb lameness in horses.. Am J Vet Res 2016 Apr;77(4):337-45.
    doi: 10.2460/ajvr.77.4.337pubmed: 27027831google scholar: lookup
  14. Rhodin M, Egenvall A, Haubro Andersen P, Pfau T. Head and pelvic movement asymmetries at trot in riding horses in training and perceived as free from lameness by the owner.. PLoS One 2017;12(4):e0176253.
  15. 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.
    doi: 10.1111/evj.12802pubmed: 29284186google scholar: lookup
  16. Pfau T, Boultbee H, Davis H, Walker A, Rhodin M. Agreement between Two Inertial Sensor Gait Analysis Systems for Lameness Examinations in Horses. Equine Vet. Educ. 2016;28:203–208.
    doi: 10.1111/eve.12400google scholar: lookup
  17. Thomsen MH, Persson AB, Jensen AT, Sørensen H, Andersen PH. Agreement between accelerometric symmetry scores and clinical lameness scores during experimentally induced transient distension of the metacarpophalangeal joint in horses.. Equine Vet J Suppl 2010 Nov;(38):510-5.
  18. Pfau T, Sepulveda Caviedes M.F., McCarthy R, Cheetham L, Forbes B, Rhodin M. Comparison of Visual Lameness Scores to Gait Asymmetry in Racing Thoroughbreds during Trot In-Hand. Equine Vet. Educ. 2018;32:191–198.
    doi: 10.1111/eve.12914google scholar: lookup
  19. Maliye S, Voute L, Lund D, Marshall JF. An inertial sensor-based system can objectively assess diagnostic anaesthesia of the equine foot.. Equine Vet J Suppl 2013 Dec;(45):26-30.
    doi: 10.1111/evj.12158pubmed: 24304400google scholar: lookup
  20. Pfau T, Spicer-Jenkins C, Smith RK, Bolt DM, Fiske-Jackson A, Witte TH. Identifying optimal parameters for quantification of changes in pelvic movement symmetry as a response to diagnostic analgesia in the hindlimbs of horses.. Equine Vet J 2014 Nov;46(6):759-63.
    doi: 10.1111/evj.12220pubmed: 24329685google scholar: lookup
  21. Starke SD, Witte TH, May SA, Pfau T. Accuracy and precision of hind limb foot contact timings of horses determined using a pelvis-mounted inertial measurement unit.. J Biomech 2012 May 11;45(8):1522-8.
  22. Hardeman AM, Serra Bragança FM, Swagemakers JH, van Weeren PR, Roepstorff L. 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 2019 Nov;51(6):831-839.
    doi: 10.1111/evj.13075pmc: PMC6850282pubmed: 30648286google 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.
    doi: 10.2460/ajvr.74.1.17pubmed: 23270341google scholar: lookup
  24. Hewetson M, Christley RM, Hunt ID, Voute LC. Investigations of the reliability of observational gait analysis for the assessment of lameness in horses.. Vet Rec 2006 Jun 24;158(25):852-7.
    doi: 10.1136/vr.158.25.852pubmed: 16798953google scholar: lookup
  25. Keegan KG, Dent EV, Wilson DA, Janicek J, Kramer J, Lacarrubba A, Walsh DM, Cassells MW, Esther TM, Schiltz P, Frees KE, Wilhite CL, Clark JM, Pollitt CC, Shaw R, Norris T. Repeatability of subjective evaluation of lameness in horses.. Equine Vet J 2010 Mar;42(2):92-7.
    doi: 10.2746/042516409X479568pubmed: 20156242google scholar: lookup
  26. van Weeren PR, Pfau T, Rhodin M, Roepstorff L, Serra Bragança F, Weishaupt MA. What is lameness and what (or who) is the gold standard to detect it?. Equine Vet J 2018 Sep;50(5):549-551.
    doi: 10.1111/evj.12970pubmed: 29953639google scholar: lookup
  27. Weishaupt MA, Wiestner T, Hogg HP, Jordan P, Auer JA. Compensatory load redistribution of horses with induced weightbearing hindlimb lameness trotting on a treadmill.. Equine Vet J 2004 Dec;36(8):727-33.
    doi: 10.2746/0425164044848244pubmed: 15656505google scholar: lookup
  28. Maliye S, Marshall JF. Objective assessment of the compensatory effect of clinical hind limb lameness in horses: 37 cases (2011-2014).. J Am Vet Med Assoc 2016 Oct 15;249(8):940-944.
    doi: 10.2460/javma.249.8.940pubmed: 27700267google scholar: lookup
  29. Leelamankong P, Estrada R, Mählmann K, Rungsri P, Lischer C. Agreement among equine veterinarians and between equine veterinarians and inertial sensor system during clinical examination of hindlimb lameness in horses.. Equine Vet J 2020 Mar;52(2):326-331.
    doi: 10.1111/evj.13144pubmed: 31233625google scholar: lookup
  30. Marshall JF, Lund DG, Voute LC. Use of a wireless, inertial sensor-based system to objectively evaluate flexion tests in the horse.. Equine Vet J Suppl 2012 Dec;(43):8-11.
  31. Rhodin M, Pfau T, Roepstorff L, Egenvall A. Effect of lungeing on head and pelvic movement asymmetry in horses with induced lameness.. Vet J 2013 Dec;198 Suppl 1:e39-45.
    doi: 10.1016/j.tvjl.2013.09.031pubmed: 24140227google scholar: lookup
  32. Maliye S, Voute LC, Marshall JF. Naturally-occurring forelimb lameness in the horse results in significant compensatory load redistribution during trotting.. Vet J 2015 May;204(2):208-13.
    doi: 10.1016/j.tvjl.2015.03.005pubmed: 25862395google scholar: lookup
  33. 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.
    doi: 10.1111/evj.12844pmc: PMC6175082pubmed: 29658147google scholar: lookup

Citations

This article has been cited 6 times.
  1. Davíðsson HB, Rees T, Ólafsdóttir MR, Einarsson H. Efficient Development of Gait Classification Models for Five-Gaited Horses Based on Mobile Phone Sensors. Animals (Basel) 2023 Jan 3;13(1).
    doi: 10.3390/ani13010183pubmed: 36611791google scholar: lookup
  2. 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. Investigation of Thresholds for Asymmetry Indices to Represent the Visual Assessment of Single Limb Lameness by Expert Veterinarians on Horses Trotting in a Straight Line. Animals (Basel) 2022 Dec 11;12(24).
    doi: 10.3390/ani12243498pubmed: 36552418google scholar: lookup
  3. 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
  4. Pandey S, Kalwa U, Kong T, Guo B, Gauger PC, Peters DJ, Yoon KJ. Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap. Animals (Basel) 2021 Sep 10;11(9).
    doi: 10.3390/ani11092665pubmed: 34573631google scholar: lookup
  5. 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
  6. 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