Assessment of repeatability of a wireless, inertial sensor-based lameness evaluation system for horses.

OBJECTIVE To determine repeatability of a wireless, inertial sensor-based lameness evaluation system in horses. ANIMALS 236 horses. PROCEDURES Horses were from 2 to 29 years of age and of various breeds and lameness disposition. All horses were instrumented with a wireless, inertial sensor-based motion analysis system on the head (accelerometer), pelvis (midline croup region [accelerometer]), and right forelimb (gyroscope) before evaluation in 2 consecutive trials, approximately 5 minutes apart, as the horse was trotted in a straight line. Signal-processing algorithms generated overall trial asymmetry measures for vertical head and pelvic movement and stride-by-stride differences in head and pelvic maximum and minimum positions between right and left sides of each stride. Repeatability was determined, and trial difference was determined for groups of horses with various numbers of strides for which data were collected per trial. RESULTS Inertial sensor-based measures of torso movement asymmetry were repeatable. Repeatability for measures of torso asymmetry for determination of hind limb lameness was slightly greater than that for forelimb lameness. Collecting large numbers of strides degraded stride-to-stride repeatability but did not degrade intertrial repeatability. CONCLUSIONS AND CLINICAL RELEVANCE The inertial sensor system used to measure asymmetry of head and pelvic movement as an aid in the detection and evaluation of lameness in horses trotting in a straight line was sufficiently repeatable to investigate for clinical use.

[1]  M. Payton,et al.  Use of force plate analysis to assess the analgesic effects of etodolac in horses with navicular syndrome. , 2006, American journal of veterinary research.

[2]  R. Christley,et al.  Investigations of the reliability of observational gait analysis for the assessment of lameness in horses , 2006, Veterinary Record.

[3]  P. Rajala-Schultz,et al.  Association between subjective lameness grade and kinetic gait parameters in horses with experimentally induced forelimb lameness. , 2005, American journal of veterinary research.

[4]  T Pfau,et al.  Evaluation of discriminant analysis based on dorsoventral symmetry indices to quantify hindlimb lameness during over ground locomotion in the horse. , 2009, Equine veterinary journal.

[5]  S. May,et al.  Evidence of bias affecting the interpretation of the results of local anaesthetic nerve blocks when assessing lameness in horses , 2006, Veterinary Record.

[6]  Eric Barrey,et al.  Utilisation of an accelerometric device in equine gait analysis , 2010 .

[7]  Yoshiharu Yonezawa,et al.  Accelerometer-based system for the detection of lameness in horses. , 2002, Biomedical sciences instrumentation.

[8]  D. Wilson,et al.  Repeatability of subjective evaluation of lameness in horses. , 2010, Equine veterinary journal.

[9]  P F Pai,et al.  Signal decomposition method of evaluating head movement to measure induced forelimb lameness in horses trotting on a treadmill. , 2010, Equine veterinary journal.

[10]  R Weller,et al.  Assessment of mild hindlimb lameness during over ground locomotion using linear discriminant analysis of inertial sensor data. , 2007, Equine veterinary journal.

[11]  H C Schamhardt,et al.  Head and trunk movement adaptations in horses with experimentally induced fore- or hindlimb lameness. , 1996, Equine veterinary journal.

[12]  Bryan K. Smith,et al.  Evaluation of mild lameness in horses trotting on a treadmill by clinicians and interns or residents and correlation of their assessments with kinematic gait analysis. , 1998, American journal of veterinary research.

[13]  Kevin G Keegan,et al.  Evidence-based lameness detection and quantification. , 2007, The Veterinary clinics of North America. Equine practice.

[14]  K. Keegan,et al.  Objective determination of pelvic movement during hind limb lameness by use of a signal decomposition method and pelvic height differences. , 2004, American journal of veterinary research.

[15]  Thilo Pfau,et al.  A hidden Markov model-based stride segmentation technique applied to equine inertial sensor trunk movement data. , 2008, Journal of biomechanics.

[16]  C. Fuller,et al.  The intra- and inter-assessor reliability of measurement of functional outcome by lameness scoring in horses. , 2006, Veterinary journal.