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Sensors (Basel, Switzerland)2023; 23(14); doi: 10.3390/s23146301

Inertial Sensor Technologies-Their Role in Equine Gait Analysis, a Review.

Abstract: Objective gait analysis provides valuable information about the locomotion characteristics of sound and lame horses. Due to their high accuracy and sensitivity, inertial measurement units (IMUs) have gained popularity over objective measurement techniques such as force plates and optical motion capture (OMC) systems. IMUs are wearable sensors that measure acceleration forces and angular velocities, providing the possibility of a non-invasive and continuous monitoring of horse gait during walk, trot, or canter during field conditions. The present narrative review aimed to describe the inertial sensor technologies and summarize their role in equine gait analysis. The literature was searched using general terms related to inertial sensors and their applicability, gait analysis methods, and lameness evaluation. The efficacy and performance of IMU-based methods for the assessment of normal gait, detection of lameness, analysis of horse-rider interaction, as well as the influence of sedative drugs, are discussed and compared with force plate and OMC techniques. The collected evidence indicated that IMU-based sensor systems can monitor and quantify horse locomotion with high accuracy and precision, having comparable or superior performance to objective measurement techniques. IMUs are reliable tools for the evaluation of horse-rider interactions. The observed efficacy and performance of IMU systems in equine gait analysis warrant further research in this population, with special focus on the potential implementation of novel techniques described and validated in humans.
Publication Date: 2023-07-11 PubMed ID: 37514599PubMed Central: PMC10386433DOI: 10.3390/s23146301Google Scholar: Lookup
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  • Journal Article
  • Review

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 article reviews the use of wearable sensors, known as inertial measurement units (IMUs), to analyze the way horses move. These sensors offer a non-invasive method to monitor horse movements accurately, especially when compared to other techniques.

Background

  • Objective analysis of a horse’s gait offers valuable insights into the movement patterns of both healthy and lame horses.
  • Inertial measurement units (IMUs), due to their precision and sensitivity, are favored over traditional methods like force plates and optical motion capture (OMC) systems for such analyses.

Purpose of the Study

  • The main goal of the narrative review was to delve deep into the technology behind IMUs and highlight their significance in equine gait analysis.

Methodology

  • The researchers conducted a comprehensive literature search, focusing on studies related to the use of inertial sensors in gait analysis and lameness evaluation in horses.
  • They also compared the effectiveness of IMU-based methods with traditional techniques like force plates and OMC.

Findings

  • IMU-based systems can monitor and measure horse movement with high accuracy and precision.
  • These systems perform either comparably or superiorly to other objective measurement methods.
  • IMUs are particularly reliable tools for evaluating the interaction between horses and riders.

Significance

  • IMUs present a non-invasive and accurate method to continuously monitor a horse’s gait under various conditions, including walking, trotting, and cantering.
  • They provide a significant advantage over other objective measurement methods in terms of their ability to assess interactions between horses and riders.

Conclusion

  • The efficacy of IMU systems in equine gait analysis is evident and prompts further research in this domain.
  • The potential benefits of exploring and implementing new techniques, already validated in human studies, for application in the equine world are also highlighted.

Cite This Article

APA
Crecan CM, Peștean CP. (2023). Inertial Sensor Technologies-Their Role in Equine Gait Analysis, a Review. Sensors (Basel), 23(14). https://doi.org/10.3390/s23146301

Publication

ISSN: 1424-8220
NlmUniqueID: 101204366
Country: Switzerland
Language: English
Volume: 23
Issue: 14

Researcher Affiliations

Crecan, Cristian Mihăiță
  • University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 400372 Cluj-Napoca, Romania.
Peștean, Cosmin Petru
  • University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, 400372 Cluj-Napoca, Romania.

MeSH Terms

  • Humans
  • Horses
  • Animals
  • Gait Analysis
  • Lameness, Animal / diagnosis
  • Gait
  • Walking
  • Locomotion
  • Biomechanical Phenomena

Conflict of Interest Statement

The authors declare no conflict of interest.

References

This article includes 102 references
  1. Broster CE, Burn CC, Barr AR, Whay HR. The range and prevalence of pathological abnormalities associated with lameness in working horses from developing countries.. Equine Vet J 2009 May;41(5):474-81.
    doi: 10.2746/042516409X373907pubmed: 19642408google scholar: lookup
  2. 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.
  3. Gomez Alvarez CB, Bobbert MF, Lamers L, Johnston C, Back W, van Weeren PR. The effect of induced hindlimb lameness on thoracolumbar kinematics during treadmill locomotion.. Equine Vet J 2008 Mar;40(2):147-52.
    doi: 10.2746/042516408X250184pubmed: 18089465google scholar: lookup
  4. 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.
  5. Brown NA, Pandy MG, Kawcak CE, McIlwraith CW. Force- and moment-generating capacities of muscles in the distal forelimb of the horse.. J Anat 2003 Jul;203(1):101-13.
  6. Roepstorff L, Johnston C, Drevemo S, Gustås P. Influence of draw reins on ground reaction forces at the trot.. Equine Vet J Suppl 2002 Sep;(34):349-52.
  7. Hodson E, Clayton HM, Lanovaz JL. The forelimb in walking horses: 1. Kinematics and ground reaction forces.. Equine Vet J 2000 Jul;32(4):287-94.
    doi: 10.2746/042516400777032237pubmed: 10952376google scholar: lookup
  8. Meershoek LS, Lanovaz JL, Schamhardt HC, Clayton HM. Calculated forelimb flexor tendon forces in horses with experimentally induced superficial digital flexor tendinitis and the effects of application of heel wedges.. Am J Vet Res 2002 Mar;63(3):432-7.
    doi: 10.2460/ajvr.2002.63.432pubmed: 11911580google scholar: lookup
  9. Williams GE. Locomotor characteristics of horses with navicular disease.. Am J Vet Res 2001 Feb;62(2):206-10.
    doi: 10.2460/ajvr.2001.62.206pubmed: 11212029google scholar: lookup
  10. Back W, MacAllister C.G., van Heel M.C.V., Pollmeier M, Hanson P.D.. Vertical Frontlimb Ground Reaction Forces of Sound and Lame Warmbloods Differ from Those in Quarter Horses. J. Equine Vet. Sci. 2007;27:123–129.
  11. 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
  12. 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
  13. Chateau H, Robin D, Simonelli T, Pacquet L, Pourcelot P, Falala S, Denoix JM, Crevier-Denoix N. Design and validation of a dynamometric horseshoe for the measurement of three-dimensional ground reaction force on a moving horse.. J Biomech 2009 Feb 9;42(3):336-40.
  14. McLaughlin RM Jr, Gaughan EM, Roush JK, Skaggs CL. Effects of subject velocity on ground reaction force measurements and stance times in clinically normal horses at the walk and trot.. Am J Vet Res 1996 Jan;57(1):7-11.
    pubmed: 8720231
  15. Clayton HM. The force plate: established technology, new applications.. Vet J 2005 Jan;169(1):15-6.
    doi: 10.1016/j.tvjl.2004.10.003pubmed: 15683760google scholar: lookup
  16. Williams GE, Silverman BW, Wilson AM, Goodship AE. Disease-specific changes in equine ground reaction force data documented by use of principal component analysis.. Am J Vet Res 1999 May;60(5):549-55.
    pubmed: 10328423
  17. Eichelberger P, Ferraro M, Minder U, Denton T, Blasimann A, Krause F, Baur H. Analysis of accuracy in optical motion capture - A protocol for laboratory setup evaluation.. J Biomech 2016 Jul 5;49(10):2085-2088.
  18. 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
  19. Windolf M, Götzen N, Morlock M. Systematic accuracy and precision analysis of video motion capturing systems--exemplified on the Vicon-460 system.. J Biomech 2008 Aug 28;41(12):2776-80.
  20. Hardeman A.M., Van Weeren P.R., Serra Bragança F.M., Warmerdam H, Bok H.G.J.. A first exploration of perceived pros and cons of quantitative gait analysis in equine clinical practice. Equine Vet. Ed. 2022;34:e438–e444.
    doi: 10.1111/eve.13505google scholar: lookup
  21. Pfau T., Fiske-Jackson A., Rhodin M.. Quantitative assessment of gait parameters in horses: Useful for aiding clinical decision making?. Equine Vet. Ed. 2016;28:209–215.
    doi: 10.1111/eve.12372google scholar: lookup
  22. Pfau T, Robilliard JJ, Weller R, Jespers K, Eliashar E, Wilson AM. Assessment of mild hindlimb lameness during over ground locomotion using linear discriminant analysis of inertial sensor data.. Equine Vet J 2007 Sep;39(5):407-13.
    doi: 10.2746/042516407X185719pubmed: 17910264google scholar: lookup
  23. Warner SM, Koch TO, Pfau T. Inertial sensors for assessment of back movement in horses during locomotion over ground.. Equine Vet J Suppl 2010 Nov;(38):417-24.
  24. Egan S, Brama PAJ, Goulding C, McKeown D, Kearney CM, McGrath D. The Feasibility of Equine Field-Based Postural Sway Analysis Using a Single Inertial Sensor.. Sensors (Basel) 2021 Feb 11;21(4).
    doi: 10.3390/s21041286pmc: PMC7916957pubmed: 33670238google scholar: lookup
  25. Crecan CM, Morar IA, Lupsan AF, Repciuc CC, Rus MA, Pestean CP. Development of a Novel Approach for Detection of Equine Lameness Based on Inertial Sensors: A Preliminary Study.. Sensors (Basel) 2022 Sep 19;22(18).
    doi: 10.3390/s22187082pmc: PMC9505255pubmed: 36146429google scholar: lookup
  26. Moorman VJ, Reiser RF 2nd, Mahaffey CA, Peterson ML, McIlwraith CW, Kawcak CE. Use of an inertial measurement unit to assess the effect of forelimb lameness on three-dimensional hoof orientation in horses at a walk and trot.. Am J Vet Res 2014 Sep;75(9):800-8.
    doi: 10.2460/ajvr.75.9.800pubmed: 25157883google scholar: lookup
  27. Pfau T, Starke SD, Tröster S, Roepstorff L. Estimation of vertical tuber coxae movement in the horse from a single inertial measurement unit.. Vet J 2013 Nov;198(2):498-503.
    doi: 10.1016/j.tvjl.2013.09.005pubmed: 24268482google scholar: lookup
  28. 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).
    doi: 10.3390/s18030850pmc: PMC5877382pubmed: 29534022google scholar: lookup
  29. Eckardt F., Witte K.. Horse–Rider Interaction: A New Method Based on Inertial Measurement Units. J. Equine Vet. Sci. 2017;55:1–8.
  30. 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
  31. Lee JN, Byeon YH, Kwak KC. Design of Ensemble Stacked Auto-Encoder for Classification of Horse Gaits with MEMS Inertial Sensor Technology.. Micromachines (Basel) 2018 Aug 17;9(8).
    doi: 10.3390/mi9080411pmc: PMC6187387pubmed: 30424344google scholar: lookup
  32. 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.
  33. Clayton H.M., Hobbs S.-J.. The role of biomechanical analysis of horse and rider in equitation science. Appl. Anim. Behav. Sci. 2017;190:123–132.
  34. 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
  35. Hardeman AM, Egenvall A, Serra Bragança FM, Swagemakers JH, Koene MHW, Roepstorff L, van Weeren R, Byström A. Visual lameness assessment in comparison to quantitative gait analysis data in horses.. Equine Vet J 2022 Nov;54(6):1076-1085.
    doi: 10.1111/evj.13545pmc: PMC9786350pubmed: 34913524google scholar: lookup
  36. Valldeperes A, Altuna X, Martinez-Basterra Z, Rossi-Izquierdo M, Benitez-Rosario J, Perez-Fernandez N, Rey-Martinez J. Wireless inertial measurement unit (IMU)-based posturography.. Eur Arch Otorhinolaryngol 2019 Nov;276(11):3057-3065.
    doi: 10.1007/s00405-019-05607-1pubmed: 31444561google scholar: lookup
  37. Gawrońska A, Zamysłowska-Szmytke E, Janc M, Kotas R, Kamiński M, Marciniak P, Tylman W, Woźniak S, Napieralski J, Sakowicz B, Pajor A, Rosiak O, Puzio A, Lucas-Brot W, Józefowicz-Korczyńska M. Innovative System for Evaluation and Rehabilitation of Human Imbalance.. Otolaryngol Pol 2022 Mar 8;76(3):7-11.
    doi: 10.5604/01.3001.0015.7927pubmed: 35796391google scholar: lookup
  38. Ghislieri M, Gastaldi L, Pastorelli S, Tadano S, Agostini V. Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.. Sensors (Basel) 2019 Sep 20;19(19).
    doi: 10.3390/s19194075pmc: PMC6806601pubmed: 31547181google scholar: lookup
  39. Wilkinson RD, Lichtwark GA. Evaluation of an inertial measurement unit-based approach for determining centre-of-mass movement during non-seated cycling.. J Biomech 2021 Sep 20;126:110441.
  40. Pillitteri G, Thomas E, Battaglia G, Navarra GA, Scardina A, Gammino V, Ricchiari D, Bellafiore M. Validity and Reliability of an Inertial Sensor Device for Specific Running Patterns in Soccer.. Sensors (Basel) 2021 Oct 31;21(21).
    doi: 10.3390/s21217255pmc: PMC8587914pubmed: 34770566google scholar: lookup
  41. Ruiz-García I, Navarro-Marchal I, Ocaña-Wilhelmi J, Palma AJ, Gómez-López PJ, Carvajal MA. Development and Evaluation of a Low-Drift Inertial Sensor-Based System for Analysis of Alpine Skiing Performance.. Sensors (Basel) 2021 Apr 2;21(7).
    doi: 10.3390/s21072480pmc: PMC8038258pubmed: 33918498google scholar: lookup
  42. Chen ZJ, He C, Gu MH, Xu J, Huang XL. Kinematic Evaluation via Inertial Measurement Unit Associated with Upper Extremity Motor Function in Subacute Stroke: A Cross-Sectional Study.. J Healthc Eng 2021;2021:4071645.
    doi: 10.1155/2021/4071645pmc: PMC8397559pubmed: 34457217google scholar: lookup
  43. Zhao J, Obonyo E, G Bilén S. Wearable Inertial Measurement Unit Sensing System for Musculoskeletal Disorders Prevention in Construction.. Sensors (Basel) 2021 Feb 13;21(4).
    doi: 10.3390/s21041324pmc: PMC7917635pubmed: 33668433google scholar: lookup
  44. Nguyen A, Roth N, Ghassemi NH, Hannink J, Seel T, Klucken J, Gassner H, Eskofier BM. Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease.. J Neuroeng Rehabil 2019 Jun 26;16(1):77.
    doi: 10.1186/s12984-019-0548-2pmc: PMC6595695pubmed: 31242915google scholar: lookup
  45. Brighton C, Olsen E, Pfau T. Is a standalone inertial measurement unit accurate and precise enough for quantification of movement symmetry in the horse?. Comput Methods Biomech Biomed Engin 2015;18(5):527-32.
    doi: 10.1080/10255842.2013.819857pubmed: 23947386google scholar: lookup
  46. Hatrisse C, Macaire C, Sapone M, Hebert C, Hanne-Poujade S, De Azevedo E, Marin F, Martin P, Chateau H. Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles.. Sensors (Basel) 2022 Jan 18;22(3).
    doi: 10.3390/s22030703pmc: PMC8840150pubmed: 35161452google scholar: lookup
  47. Serra Bragança FM, Broomé S, Rhodin M, Björnsdóttir S, Gunnarsson V, Voskamp JP, Persson-Sjodin E, Back W, Lindgren G, Novoa-Bravo M, Gmel AI, Roepstorff C, van der Zwaag BJ, Van Weeren PR, Hernlund E. Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.. Sci Rep 2020 Oct 20;10(1):17785.
    doi: 10.1038/s41598-020-73215-9pmc: PMC7576586pubmed: 33082367google scholar: lookup
  48. Roepstorff C, Dittmann MT, Arpagaus S, Serra Bragança FM, Hardeman A, Persson-Sjödin E, Roepstorff L, Gmel AI, Weishaupt MA. Reliable and clinically applicable gait event classification using upper body motion in walking and trotting horses.. J Biomech 2021 Jan 4;114:110146.
  49. Equinosis LLC . Find a Vet. Equinosis LLC; Columbia, MO, USA: 2019.
  50. Bragança FM, Bosch S, Voskamp JP, Marin-Perianu M, Van der Zwaag BJ, Vernooij JCM, van Weeren PR, Back W. Validation of distal limb mounted inertial measurement unit sensors for stride detection in Warmblood horses at walk and trot.. Equine Vet J 2017 Jul;49(4):545-551.
    doi: 10.1111/evj.12651pmc: PMC5484301pubmed: 27862238google scholar: lookup
  51. Tijssen M, Hernlund E, Rhodin M, Bosch S, Voskamp JP, Nielen M, Serra Braganςa FM. Automatic hoof-on and -off detection in horses using hoof-mounted inertial measurement unit sensors.. PLoS One 2020;15(6):e0233266.
  52. Briggs EV, Mazzà C. Automatic methods of hoof-on and -off detection in horses using wearable inertial sensors during walk and trot on asphalt, sand and grass.. PLoS One 2021;16(7):e0254813.
  53. 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.2021.681213pmc: PMC8259880pubmed: 34239913google scholar: lookup
  54. Thompson C.J., Luck L.M., Keshwani J., Pitla S.K., Karr L.K.. Location on the Body of a Wearable Accelerometer Affects Accuracy of Data for Identifying Equine Gaits. J. Equine Vet. Sci. 2018;63:1–7.
  55. Hagen J, Bos R, Brouwer J, Lux S, Jung FT. Influence of trimming, hoof angle and shoeing on breakover duration in sound horses examined with hoof-mounted inertial sensors.. Vet Rec 2021 Aug;189(4):e450.
    doi: 10.1002/vetr.450pubmed: 33993524google scholar: lookup
  56. Sapone M, Martin P, Ben Mansour K, Château H, Marin F. Comparison of Trotting Stance Detection Methods from an Inertial Measurement Unit Mounted on the Horse's Limb.. Sensors (Basel) 2020 May 25;20(10).
    doi: 10.3390/s20102983pmc: PMC7288211pubmed: 32466104google scholar: lookup
  57. Sapone M, Martin P, Ben Mansour K, Chateau H, Marin F. The Protraction and Retraction Angles of Horse Limbs: An Estimation during Trotting Using Inertial Sensors.. Sensors (Basel) 2021 May 30;21(11).
    doi: 10.3390/s21113792pmc: PMC8199102pubmed: 34070859google scholar: lookup
  58. 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.
    doi: 10.3390/s120608145pmc: PMC3436021pubmed: 22969392google scholar: lookup
  59. 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.
  60. 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
  61. Hammarberg M, Egenvall A, Pfau T, Rhodin M. Rater agreement of visual lameness assessment in horses during lungeing.. Equine Vet J 2016 Jan;48(1):78-82.
    doi: 10.1111/evj.12385pmc: PMC4964936pubmed: 25399722google scholar: lookup
  62. 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
  63. 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.
    doi: 10.2746/042516408X343000pubmed: 19418737google scholar: lookup
  64. Zetterberg E, Leclercq A, Persson-Sjodin E, Lundblad J, Haubro Andersen P, Hernlund E, Rhodin M. Prevalence of vertical movement asymmetries at trot in Standardbred and Swedish Warmblood foals.. PLoS One 2023;18(4):e0284105.
  65. Leśniak K, Whittington L, Mapletoft S, Mitchell J, Hancox K, Draper S, Williams J. The Influence of Body Mass and Height on Equine Hoof Conformation and Symmetry.. J Equine Vet Sci 2019 Jun;77:43-49.
    doi: 10.1016/j.jevs.2019.02.013pubmed: 31133315google scholar: lookup
  66. Kallerud AS, Fjordbakk CT, Hendrickson EHS, Persson-Sjodin E, Hammarberg M, Rhodin M, Hernlund E. Objectively measured movement asymmetry in yearling Standardbred trotters.. Equine Vet J 2021 May;53(3):590-599.
    doi: 10.1111/evj.13302pubmed: 32558997google scholar: lookup
  67. 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
  68. 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/s22239533pmc: PMC9740227pubmed: 36502233google scholar: lookup
  69. Pagliara E, Marenchino M, Antenucci L, Costantini M, Zoppi G, Giacobini MDL, Bullone M, Riccio B, Bertuglia A. Fetlock Joint Angle Pattern and Range of Motion Quantification Using Two Synchronized Wearable Inertial Sensors per Limb in Sound Horses and Horses with Single Limb Naturally Occurring Lameness.. Vet Sci 2022 Aug 25;9(9).
    doi: 10.3390/vetsci9090456pmc: PMC9502055pubmed: 36136672google scholar: lookup
  70. Roepstorff L, Wiestner T, Weishaupt MA, Egenvall E. Comparison of microgyro-based measurements of equine metatarsal/metacarpal bone to a high speed video locomotion analysis system during treadmill locomotion.. Vet J 2013 Dec;198 Suppl 1:e157-60.
    doi: 10.1016/j.tvjl.2013.09.052pubmed: 24360759google scholar: lookup
  71. Donnell JR, Frisbie DD, King MR, Goodrich LR, Haussler KK. Comparison of subjective lameness evaluation, force platforms and an inertial-sensor system to identify mild lameness in an equine osteoarthritis model.. Vet J 2015 Nov;206(2):136-42.
    doi: 10.1016/j.tvjl.2015.08.004pubmed: 26361749google scholar: lookup
  72. 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.
  73. Lopes M.A.F., Eleuterio A., Mira M.C.. Objective Detection and Quantification of Irregular Gait with a Portable Inertial Sensor-Based System in Horses During an Endurance Race—A Preliminary Assessment. J. Equine Vet. Sci. 2018;70:123–129.
  74. Peham C, Licka T, Mayr A, Scheidl M. Individual speed dependency of forelimb lameness in trotting horses.. Vet J 2000 Sep;160(2):135-8.
    doi: 10.1016/S1090-0233(00)90483-0pubmed: 10985805google scholar: lookup
  75. 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.
    doi: 10.1016/j.tvjl.2013.03.006pubmed: 23611486google scholar: lookup
  76. Robert C, Valette JP, Pourcelot P, Audigié F, Denoix JM. Effects of trotting speed on muscle activity and kinematics in saddlehorses.. Equine Vet J Suppl 2002 Sep;(34):295-301.
  77. Moorman V.J., Frisbie D.D., Kawcak C.E., McIlwraith C.W.. The Effect of Horse Velocity on the Output of an Inertial Sensor System. J. Equine Vet. Sci. 2017;58:34–39.
  78. Darbandi H, Serra Bragança F, van der Zwaag BJ, Voskamp J, Gmel AI, Haraldsdóttir EH, Havinga P. Using Different Combinations of Body-Mounted IMU Sensors to Estimate Speed of Horses-A Machine Learning Approach.. Sensors (Basel) 2021 Jan 26;21(3).
    doi: 10.3390/s21030798pmc: PMC7865839pubmed: 33530288google scholar: lookup
  79. Lopes MA, Dearo AC, Lee A, Reed SK, Kramer J, Pai PF, Yonezawa Y, Maki H, Morgan TL, Wilson DA, Keegan KG. An attempt to detect lameness in galloping horses by use of body-mounted inertial sensors.. Am J Vet Res 2016 Oct;77(10):1121-31.
    doi: 10.2460/ajvr.77.10.1121pubmed: 27668584google scholar: lookup
  80. Becker K., Lewczuk D.. Phenotypic correlations between jump and gaits characteristics measured by inertial measurement units in horse jumping training—Preliminary results. Livest. Sci. 2022;266:105112.
  81. Becker K, Lewczuk D. Variability of Jump Biomechanics Between Horses of Different Age and Experience Using Commercial Inertial Measurement Unit Technology.. J Equine Vet Sci 2022 Dec;119:104146.
    doi: 10.1016/j.jevs.2022.104146pubmed: 36283588google scholar: lookup
  82. Schmutz A, Chèze L, Jacques J, Martin P. A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method.. Sensors (Basel) 2020 Jan 17;20(2).
    doi: 10.3390/s20020518pmc: PMC7014525pubmed: 31963422google scholar: lookup
  83. Ricard A, Dumont Saint Priest B, Danvy S, Barrey E. Accelerometers Provide Early Genetic Selection Criteria for Jumping Horses.. Front Genet 2020;11:448.
    doi: 10.3389/fgene.2020.00448pmc: PMC7248255pubmed: 32508876google scholar: lookup
  84. Münz A, Eckardt F, Witte K. Horse-rider interaction in dressage riding.. Hum Mov Sci 2014 Feb;33:227-37.
    doi: 10.1016/j.humov.2013.09.003pubmed: 24290612google scholar: lookup
  85. MacKechnie-Guire R, Pfau T. Differential rotational movement and symmetry values of the thoracolumbosacral region in high-level dressage horses when trotting.. PLoS One 2021;16(5):e0251144.
  86. Martin P, Cheze L, Pourcelot P, Desquilbet L, Duray L, Chateau H. Effects of the rider on the kinematics of the equine spine under the saddle during the trot using inertial measurement units: Methodological study and preliminary results.. Vet J 2017 Mar;221:6-10.
    doi: 10.1016/j.tvjl.2016.12.018pubmed: 28283082google scholar: lookup
  87. Pasquiet B, Biau S, Trébot Q, Debril JF, Durand F, Fradet L. Detection of Horse Locomotion Modifications Due to Training with Inertial Measurement Units: A Proof-of-Concept.. Sensors (Basel) 2022 Jul 1;22(13).
    doi: 10.3390/s22134981pmc: PMC9269723pubmed: 35808476google scholar: lookup
  88. Lee JN, Lee MW, Byeon YH, Lee WS, Kwak KC. Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor.. Sensors (Basel) 2016 May 10;16(5).
    doi: 10.3390/s16050664pmc: PMC4883355pubmed: 27171098google scholar: lookup
  89. Buchner HH, Kübber P, Zohmann E, Peham C. Sedation and antisedation as tools in equine lameness examination.. Equine Vet J Suppl 1999 Jul;(30):227-30.
  90. da Silva Azevedo M., De La Côrte F.D., Brass K.E., Gallio M., Pozzobon R., Lopes M.A.F., Lopes L.F.D.. The Use of Xylazine or Acepromazine Does Not Interfere in the Lameness Evaluation by Inertial Sensors. J. Equine Vet. Sci. 2015;35:27–30.
  91. Leelamankong P., Estrada R.J., Rungsri P., Wolfgang S., Müller C.D.V.S., Lischer C.J.. Objective Evaluation of the Response to Perineural Analgesia of the Deep Branch of the Lateral Plantar Nerve and Intraarticular Analgesia of the Tarsometatarsal Joint in Horses with Suspected Proximal Metatarsal Pain Using Body-Mounted Inertial Sensors. J. Equine Vet. Sci. 2018;70:91–95.
  92. Rungsri P.K., Staecker W., Leelamankong P., Estrada R.J., Schulze T., Lischer C.J.. Use of Body-Mounted Inertial Sensors to Objectively Evaluate the Response to Perineural Analgesia of the Distal Limb and Intra-articular Analgesia of the Distal Interphalangeal Joint in Horses with Forelimb Lameness. J. Equine Vet. Sci. 2014;34:972–977.
  93. Rettig MJ, Leelamankong P, Rungsri P, Lischer CJ. Effect of sedation on fore- and hindlimb lameness evaluation using body-mounted inertial sensors.. Equine Vet J 2016 Sep;48(5):603-7.
    doi: 10.1111/evj.12463pubmed: 26032237google scholar: lookup
  94. López-Sanromán FJ, Gómez Cisneros D, Varela del Arco M, Santiago Llorente I, Santos González M. The use of low doses of acepromazine as an aid for lameness diagnosis in horses: An accelerometric evaluation.. Vet Comp Orthop Traumatol 2015;28(5):312-7.
    doi: 10.3415/vcot-14-11-0177pubmed: 26219640google scholar: lookup
  95. Quam V, Yardley J, Quam M, Paz C, Belknap J. Cryotherapy provides transient analgesia in an induced lameness model in horses.. Can Vet J 2021 Aug;62(8):834-838.
    pmc: PMC8281941pubmed: 34341594
  96. van der Straaten R, Wesseling M, Jonkers I, Vanwanseele B, Bruijnes AKBD, Malcorps J, Bellemans J, Truijen J, De Baets L, Timmermans A. Functional movement assessment by means of inertial sensor technology to discriminate between movement behaviour of healthy controls and persons with knee osteoarthritis.. J Neuroeng Rehabil 2020 May 19;17(1):65.
    doi: 10.1186/s12984-020-00694-2pmc: PMC7236325pubmed: 32430036google scholar: lookup
  97. Song Y, Cen X, Chen H, Sun D, Munivrana G, Bálint K, Bíró I, Gu Y. The influence of running shoe with different carbon-fiber plate designs on internal foot mechanics: A pilot computational analysis.. J Biomech 2023 May;153:111597.
  98. Guiotto A., Bortolami G., Ciniglio A., Spolaor F., Guarneri G., Avogaro A., Cibin F., Silvestri F., Sawacha Z.. Machine learning approach to diabetic foot risk classification with biomechanics data. Gait Posture 2022;97:30–31.
  99. Van Houtte J, Vandenberghe F, Zheng G, Huysmans T, Sijbers J. EquiSim: An Open-Source Articulatable Statistical Model of the Equine Distal Limb.. Front Vet Sci 2021;8:623318.
    doi: 10.3389/fvets.2021.623318pmc: PMC7982960pubmed: 33763462google scholar: lookup
  100. Collado-Mateo D, Lavín-Pérez AM, Fuentes García JP, García-Gordillo MÁ, Villafaina S. Effects of Equine-Assisted Therapies or Horse-Riding Simulators on Chronic Pain: A Systematic Review and Meta-Analysis.. Medicina (Kaunas) 2020 Aug 31;56(9).
    doi: 10.3390/medicina56090444pmc: PMC7557603pubmed: 32878327google scholar: lookup
  101. . Canine and Equine Therapy for Mental Health: A Review of Clinical Effectiveness. .
    pubmed: 31682391
  102. Pérez-Gómez J, Amigo-Gamero H, Collado-Mateo D, Barrios-Fernandez S, Muñoz-Bermejo L, Garcia-Gordillo MÁ, Carlos-Vivas J, Adsuar JC. Equine-assisted activities and therapies in children with attention-deficit/hyperactivity disorder: A systematic review.. J Psychiatr Ment Health Nurs 2021 Dec;28(6):1079-1091.
    doi: 10.1111/jpm.12710pubmed: 33171006google scholar: lookup

Citations

This article has been cited 6 times.
  1. Gottleib K, Trager-Burns L, Santonastaso A, Bogers S, Werre S, Burns T, Byron C. Comparison of Gait Characteristics for Horses Without Shoes, with Steel Shoes, and with Aluminum Shoes. Animals (Basel) 2025 Aug 13;15(16).
    doi: 10.3390/ani15162376pubmed: 40867705google scholar: lookup
  2. 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
  3. Khammesri S, Wantanajittikul K, Namwongprom K, Kittisirikul N, Ueangpaibool P, Thitaram C, Brown JL, Kongsawasdi S. Evaluating Gait Abnormalities in Asian Elephants Using Inertial Measurement Unit-Based Vertical Movement Symmetry Analysis: A Pilot Study. Vet Sci 2025 Feb 11;12(2).
    doi: 10.3390/vetsci12020154pubmed: 40005914google scholar: lookup
  4. Crecan CM, Ciulu-Angelescu V, Morar IA, Lupșan AF, Tripon MA, Tripon MA, Bungărdean D, Daradics Z, Peștean CP. Quantitative lameness assessment in horses by using an accelerometer-based simple device: A preliminary study. Open Vet J 2024 Nov;14(11):3089-3099.
    doi: 10.5455/OVJ.2024.v14.i11.38pubmed: 39737023google scholar: lookup
  5. Asti V, Ablondi M, Molle A, Zanotti A, Vasini M, Sabbioni A. Inertial measurement unit technology for gait detection: a comprehensive evaluation of gait traits in two Italian horse breeds. Front Vet Sci 2024;11:1459553.
    doi: 10.3389/fvets.2024.1459553pubmed: 39479203google scholar: lookup
  6. Calle-González N, Lo Feudo CM, Ferrucci F, Requena F, Stucchi L, Muñoz A. Objective Assessment of Equine Locomotor Symmetry Using an Inertial Sensor System and Artificial Intelligence: A Comparative Study. Animals (Basel) 2024 Mar 16;14(6).
    doi: 10.3390/ani14060921pubmed: 38540019google scholar: lookup