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

ABSTRACT: 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

SUBMITTER: Jenkins GJ 

PROVIDER: S-EPMC6002023 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature