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GaitKeeper: A System for Measuring Canine Gait.

Cassim Ladha1, Jack O'Sullivan2, Zoe Belshaw3

  • 1Centre for Behaviour and Evolution, Henry Wellcome Building, Newcastle University, Newcastle NE2 4HH, UK. cassim.ladha@ncl.ac.uk.

Sensors (Basel, Switzerland)
|February 18, 2017
PubMed
Summary

This study introduces a new, objective system for measuring canine gait, offering precise detection of lameness markers. This technology aims to improve early diagnosis and welfare for dogs by providing reliable gait analysis.

Keywords:
accelerometerdogexercisegaitgyroscopeinertial measurement unit (IMU)locomotionmovement sciencestride segmentation

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Area of Science:

  • Veterinary Science
  • Biomechanics
  • Movement Science

Background:

  • Gait analysis is crucial for understanding neurodegenerative disorders and assessing canine lameness.
  • Current methods for canine lameness assessment are often subjective, unvalidated, and prone to bias.
  • Objective and reliable gait analysis is needed for early detection of abnormalities and improved canine welfare.

Purpose of the Study:

  • To develop and validate a system for objectively measuring temporal gait characteristics in dogs.
  • To provide a reliable, affordable, and objective method for assessing canine lameness.
  • To enable precise measurement of gait parameters for research and clinical applications.

Main Methods:

  • Utilized an inertial measurement unit (IMU) with a 3-axis accelerometer and gyroscope attached to each leg.
  • Implemented a standardized walking course for data collection.
  • Processed IMU data to identify steps and measure micro-gait characteristics like step-time, swing-time, and stance-time.

Main Results:

  • The system achieved high precision in detecting foot-to-floor contact times (0.011 s for initial, 0.048 s for final).
  • Demonstrated high accuracy with sensitivity, positive predictive value, and F-score of 0.81, 0.83, and 0.82, respectively, across 12,678 foot falls.
  • Showed consistent performance in both walking and trotting gaits without significant deviation.

Conclusions:

  • The developed system offers a pragmatic and precise solution for objective canine gait measurement.
  • This technology has the potential for wide-ranging applications in both veterinary research and clinical practice.
  • Further development could enhance early detection of gait abnormalities and improve canine health outcomes.