The Functional Gait Deviation Index
Sajal Kaur Minhas, Morgan Sangeux, Julia Polak, Michelle Carey

TL;DR
The paper introduces the functional gait deviation index (FGDI), a new measure for quantifying gait abnormality that accounts for movement smoothness and joint co-variation, improving gait analysis accuracy.
Contribution
It proposes the FGDI, a novel multivariate functional principal components analysis-based index that enhances gait abnormality measurement over existing benchmarks.
Findings
FGDI correlates with overall gait function
FGDI provides consistent gait abnormality measurement
FGDI is easily implemented via a web app
Abstract
A typical gait analysis requires the examination of the motion of nine joint angles on the left-hand side and six joint angles on the right-hand side across multiple subjects. Due to the quantity and complexity of the data, it is useful to calculate the amount by which a subject's gait deviates from an average normal profile and to represent this deviation as a single number. Such a measure can quantify the overall severity of a condition affecting walking, monitor progress, or evaluate the outcome of an intervention prescribed to improve the gait pattern. The gait deviation index, gait profile score, and the overall abnormality measure are standard benchmarks for quantifying gait abnormality. However, these indices do not account for the intrinsic smoothness of the gait movement at each joint/plane and the potential co-variation between the joints/planes. Utilizing a multivariate…
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Taxonomy
TopicsBalance, Gait, and Falls Prevention · Cerebral Palsy and Movement Disorders · Reliability and Agreement in Measurement
