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Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs
Samantha Bolton1, Nick Cave1, Naomi Cogger1
1School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.
Animals : an Open Access Journal From MDPI
|April 30, 2021
Summary
Collar-mounted accelerometry can reliably distinguish between walking and faster gaits in dogs. This technology can improve osteoarthritis treatment monitoring by identifying activity periods most impacted by interventions.
Area of Science:
- Veterinary Science
- Biomechanics
- Animal Locomotion
Background:
- Accelerometry is used to assess osteoarthritis treatment efficacy in dogs, but its interpretation is challenging.
- Simplifying accelerometry data into gait or speed categories could enhance interpretability.
Purpose of the Study:
- To evaluate if collar-mounted accelerometers can estimate canine speed and categorize gait on a treadmill.
- To determine the feasibility of using accelerometry for objective gait analysis in dogs.
Main Methods:
- Eight Huntaway dogs were fitted with triaxial accelerometers and recorded via high-speed video on a treadmill.
- Data from accelerometers (delta-G) were synchronized with video and treadmill speed/gait records.
- Mixed linear and logistic regression models, including delta-G and skeletal size, predicted speed and gait.
Main Results:
- Gait was accurately categorized into walking versus faster gaits (trot/canter) with high reliability (pseudo-R2 = 0.87).
- Separate categorization of faster gaits (trot, canter) was not achieved.
- Speed estimation above 3 m/s proved inaccurate, with potential device or inherent limitations.
Conclusions:
- Collar-mounted accelerometry reliably categorizes canine gaits into two broad types: walking and faster.
- Precise speed estimation or differentiation of faster gaits requires individualized modeling and validation.
- This method can enhance the utility of accelerometry for detecting osteoarthritis treatment effects by focusing on activity periods most affected.
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