Automatic characterization of stride parameters in canines with a single wearable inertial sensor

Background and objective Gait analysis is valuable for studying neuromuscular and skeletal diseases. Wearable motion sensors or inertial measurement units (IMUs) have become common for human gait analysis. Canines are important large animal models for translational research of human diseases. Our objective is to develop a method for accurate and reliable determination of the timing of each stride in dogs using a wearable IMU. Methods We built a wireless IMU sensor using off-the-shelf components. We also developed a MATLAB algorithm for data acquisition and stride timing determination. Stride parameters from 1,259 steps of three adult mixed breed dogs were determined across a range of six height-normalized speeds using the IMU system. The IMU results were validated by frame-by-frame manual counting of high-speed video recordings. Results Comparing IMU derived results with video revealed that the mean error ± standard deviation for stride, stance, and swing duration was 0.001 ± 0.025, -0.001 ± 0.030, and 0.001 ± 0.019 s respectively. A mean error ± standard deviation of 0.000 ± 0.020 and -0.008 ± 0.027 s was obtained for determining toe-off and toe-touch events respectively. Only one step was missed by the algorithm in the video dataset of 1,259 steps. Conclusion We have developed and validated an IMU method for automatic canine gait analysis. Our method can be used for studying neuromuscular diseases in veterinary clinics and in translational research.

[1]  L. Leahey,et al.  Evaluation of a novel accelerometer for kinetic gait analysis in dogs. , 2014, Canadian journal of veterinary research = Revue canadienne de recherche veterinaire.

[2]  P Pillard,et al.  3D accelerometric assessment of the gait of dogs with cranial cruciate ligament rupture , 2012, Computer methods in biomechanics and biomedical engineering.

[3]  George E Gorton,et al.  Assessment of the kinematic variability among 12 motion analysis laboratories. , 2009, Gait & posture.

[4]  David R Carrier,et al.  Lack of locomotor-cardiac coupling in trotting dogs. , 1997, American journal of physiology. Regulatory, integrative and comparative physiology.

[5]  M. Hildebrand The quadrupedal gaits of vertebrates , 1989 .

[6]  Alan M. Wilson,et al.  An exploratory clustering approach for extracting stride parameters from tracking collars on free-ranging wild animals , 2017, Journal of Experimental Biology.

[7]  Gina Bertocci,et al.  Evaluation of inertial measurement units as a novel method for kinematic gait evaluation in dogs , 2016, Veterinary and Comparative Orthopaedics and Traumatology.

[8]  Guang-Zhong Yang,et al.  Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review , 2016, IEEE Journal of Biomedical and Health Informatics.

[9]  Dongsheng Duan,et al.  Quantitative Phenotyping of Duchenne Muscular Dystrophy Dogs by Comprehensive Gait Analysis and Overnight Activity Monitoring , 2013, PloS one.

[10]  A. R. Biknevicius,et al.  Correlation of symmetrical gaits and whole body mechanics: debunking myths in locomotor biodynamics. , 2006, Journal of experimental zoology. Part A, Comparative experimental biology.

[11]  Andrew Bateman,et al.  Observational gait assessment tools in paediatrics--a systematic review. , 2014, Gait & posture.

[12]  Chris Bishop,et al.  Next-generation low-cost motion capture systems can provide comparable spatial accuracy to high-end systems. , 2013, Journal of applied biomechanics.

[13]  R. Hackert,et al.  Steady locomotion in dogs: temporal and associated spatial coordination patterns and the effect of speed , 2008, Journal of Experimental Biology.

[14]  R. McN. Alexander,et al.  The Gaits of Bipedal and Quadrupedal Animals , 1984 .

[15]  Cassim Ladha,et al.  GaitKeeper: A System for Measuring Canine Gait , 2017, Sensors.

[16]  Pietro Picerno,et al.  25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches. , 2017, Gait & posture.

[17]  Fary Khan,et al.  The use of laboratory gait analysis for understanding gait deterioration in people with multiple sclerosis , 2016, Multiple sclerosis.

[18]  A. Melchert,et al.  Kinetic and temporospatial gait parameters in a heterogeneous group of dogs , 2016, BMC Veterinary Research.

[19]  Joe N. Kornegay,et al.  Kinematics of gait in Golden Retriever Muscular Dystrophy , 2010, Neuromuscular Disorders.

[20]  Eric Barrey,et al.  Longitudinal ambulatory measurements of gait abnormality in dystrophin-deficient dogs , 2011, BMC musculoskeletal disorders.

[21]  M Rhodin,et al.  Inertial sensor-based system for lameness detection in trotting dogs with induced lameness. , 2017, Veterinary journal.

[22]  Robert L Gillette,et al.  Recent developments in canine locomotor analysis: a review. , 2008, Veterinary journal.

[23]  Daniel E. Koditschek,et al.  Longitudinal quasi-static stability predicts changes in dog gait on rough terrain , 2017, Journal of Experimental Biology.

[24]  Anne-Sofie Lagerstedt,et al.  Kinematic and spatiotemporal assessment of habituation to treadmill walking in Labrador retrievers , 2016, Acta Veterinaria Scandinavica.

[25]  Dongsheng Duan,et al.  Duchenne muscular dystrophy gene therapy in the canine model. , 2015, Human gene therapy. Clinical development.