In recent years, several new approaches to gait data analysis have been explored, including
fuzzy systems, multivariate statistical techniques and fractal dynamics. Through a critical …

Principles of muscle coordination in gait have been based largely on analyses of body
motion, ground reaction force and EMG measurements. However, data from dynamical …

Principal component analysis of a data matrix extracts the dominant patterns in the matrix in
terms of a complementary set of score and loading plots. It is the responsibility of the data …

This article describes a new multivariate measure of overall gait pathology called the Gait
Deviation Index (GDI). The first step in developing the GDI was to use kinematic data from a …

This study compared the gait of 50 patients with end-stage knee osteoarthritis to a group of
63 age-matched asymptomatic control subjects. The analysis focused on three gait …

Multivariate gait data have traditionally been challenging to analyze. Part 1 of this review
explored applications of fuzzy, multivariate statistical and fractal methods to gait data …

Osteoarthritis (OA) is a chronic disorder resulting in degenerative changes to the knee joint.
Three-dimensional gait analysis provides a unique method of measuring knee dynamics …

This study addresses the challenge of identifying the features of the Centre of pressure
(COP) trajectory that are most sensitive to postural performance, with the aim of avoiding …

Background Female athletes are 2 to 8 times more likely than male athletes to injure the
anterior cruciate ligament during a noncontact athletic maneuver. Identifying anterior …

Joint contact and muscle forces estimated with musculoskeletal modeling techniques offer
useful metrics describing movement quality that benefit multiple research and clinical …