New study: Canine gait analysis for the early detection of movement disorders

Canine gait analysis can detect subtle movement deviations at an early stage, enabling effective treatment.

We are pleased to present a new study recently published in the Journal of Veterinary and Animal Sciences. This research focuses on how precise canine gait analysis helps in early detection of movement disorders and subsequent treatment.

Movement disorders like hip dysplasia (HD) and osteoarthritis are common in canines and significantly reduce their quality of life. These disorders are often diagnosed late, when symptoms are advanced. Early detection could prevent disease progression and improve affected dogs’ quality of life.

Authors of the study:
P. Blättler: Resources, methodology, investigation. M. Altermatt: Writing – review & editing. M. Röhrich: Writing – review & editing. N. Grütter: Writing – review & editing, writing – original draft, methodology, investigation, formal analysis, conceptualisation.

Movella Xsens inertial measurement unit used in canine gait analysis: LupoGait
Fig. 1: Left, schematic representation of the mobile gait analysis system with the positions of the IMU on the dog. Right: Movella Xsens inertial measurement unit, which is used for gait analysis, with the corresponding receiver dongle.

In this study, canine gait analysis was conducted using the LupoGait® system, which involves advanced technologies such as inertial measurement units (IMU) to monitor canine movements.

This allowed researchers to identify movement abnormalities before clinical symptoms, such as lameness, were evident.

This variance manifests itself in the stance and swing phase, in the range of movement, in the extension and flexion of the limbs and in the mechanical symmetries. These differences can be recognised visually by indicators such as dogs running close to the hindquarters, limping or a bow-legged hind leg position.

Why gait analysis is crucial for dogs.

LupoGait: Graph showing variance in movement patterns of healthy versus HD-affected canines.
Fig. 2: Variance of the linear regression of healthy dogs (left) and dogs diagnosed with HD (right) with calculation of significance by independent t-test. (*: p < 0.05, **: p < 0.01, ***: p < 0.001) The Y-axis shows the variances of the respective characteristics: a) extension, b) stride length, c) maximum acceleration amplitude, d) maximum ventral acceleration, e) maximum gyration amplitude, f) standard deviation. All characteristics refer to the side of the pathological limb.

To test this hypothesis, a 42-month study was launched in early 2019 to investigate the kinematics of puppies from the age of 12 weeks to 15 months.

Three dog breeds that are susceptible to hip dysplasia were selected for the study: 37 Australian Shepherds, 11 Golden Retrievers and 6 Rottweilers.

Between 12 and 28 weeks of age, the pups underwent routine monthly examinations during which their movements were measured using MTw sensors. These sensors are miniaturised inertial measurement units that contain 3D accelerometers, gyroscopes and magnetometers.

After the 28th week, the intervals were extended to every two months.

At the age of 15 months, the final orthopaedic examination was carried out, including an official HD/ED x-ray, which was evaluated by the HD Commission of the Zurich Veterinary Hospital.

Canine gait analysis with the LupoGait® system: Puppy
Canine gait analysis with the LupoGait® system.

Early detection is essential for canines prone to musculoskeletal disorders. Diseases such as hip dysplasia and osteoarthritis often develop slowly and go unnoticed. By monitoring movement patterns regularly, signs of movement disorders can be detected early, enabling prompt therapeutic interventions to slow or prevent disease progression.

Relevance for dog owners and veterinarians

This research is important for anyone interested in improving canine well-being. Canine gait analysis enables dog owners to identify potential issues early, while veterinarians benefit from precise diagnostic tools for developing targeted treatment plans. The technology also offers significant insights in rehabilitation and pain therapy.