Abstract
The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter's effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries. It can also combine subsets of the different gait parameters to provide a more thorough analysis. The single number quantifying gait could assist robotic rehabilitation methods to optimize the resulting gait patterns. CGAM will help define quantitative thresholds for achievable balanced overall gait asymmetry. The study presented here compares the combined gait parameters with clinical measures such as timed up and go (TUG), six-minute walk test (6MWT), and gait velocity. The comparisons are made on gait data collected on individuals with stroke before and after twelve sessions of rehabilitation. Step length, step time, and swing time showed a strong correlation to CGAM, but the double limb support asymmetry has nearly no correlation with CGAM and ground reaction force asymmetry has a weak correlation. The CGAM scores were moderately correlated with TUG and strongly correlated to 6MWT and gait velocity.
Highlights
Researchers traditionally analyze a small set of gait parameters in order to evaluate the outcomes of their techniques
We examine our combined gait asymmetry metric (CGAM) to give a representation of the overall gait pattern
We focus on measures of asymmetry, this combined method is not limited by the type or number of parameters evaluated
Summary
Researchers traditionally analyze a small set of gait parameters in order to evaluate the outcomes of their techniques. This often leads to an overreliance on a few parameters and a focus on improving one gait parameter. Few studies in the gait literature aim to correct many gait parameters at the same time. Our hypothesis is that the outcomes of the combined metric will partially correlate to functional clinical outcome measures. We use this combined metric to determine if there have been changes to the individual’s gait pattern from baseline to after the clinical intervention
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