ABSTRACT
Objective:
In this study, a
gait acquisition and
analysis system is developed to provide a cheap, easy-to-use
solution for quantitative recording and
analysis of
patients'
gaits.
Methods:
From April 2017 to October 2018, we collected the
gait data of 19
patients with
knee osteoarthritis and 19
healthy volunteers in the orthopaedic
outpatient department. Among 19
patients, there were 9
males and 10
females,
aged 50.1±9.4 years old. Among 19
healthy volunteers, there were 8
males and 11
females,
aged 50.7±10.3 years old. Then, from the collected
gait data, the static
gait features such as
gait speed, step length, stride, and dynamic
gait features were automatically calculated, and the statistical difference
analysis was finished to determine the correlation between these quantitative
gait features and
knee osteoarthritis.
Results:
Firstly, the
gait data collected by the depth camera was compared with the data from the multi infrared camera-based
motion analysis system (
gold standard). The average angle error of the collected
knee joint angle was 0.98 degrees, which proved the correctness of the
gait data recorded by the depth camera. The statistical difference
analysis of
gait characteristics between the
patient group and the healthy group showed that the
gait characteristics with P<0.05 included
gait speed ( r=-0.922, P<0.001), step length ( r=-0.897, P=0.004), stride ( r=-0.914 , P<0.001), dynamic characteristics of angle of
knee joint ( r=0.775, P=0.001).
Conclusion:
The
gait acquisition and
analysis system based on the depth camera can accurately
record and store the
gait data of the
patients with
knee osteoarthritis. Moreover, the extracted quantitative
gait features have statistical differences between the
patients and the healthy group, which is helpful for the
gait analysis of
bone joint.