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Analysis Of Continuous Gait Data Requires Temporal Alignment Of Gait Phases, Elham Alijanpour, Kathryn Riis, Daniel M. Russell
Analysis Of Continuous Gait Data Requires Temporal Alignment Of Gait Phases, Elham Alijanpour, Kathryn Riis, Daniel M. Russell
College of Health Sciences Posters
A statistical method for comparing time-continuous curves, such as the kinematics of gait cycles, is statistical parametric mapping analysis (SPM) (Pataky, 2010). According to a recent study, SPM results were sensitive to how each stride's beginning was defined (Honert & Pataky, 2021). Nonetheless, for meaningful comparisons between gait cycles, temporal alignment of phases within a stride may be required (Helwig et al., 2011). With both temporally aligned and unaligned gait data, the goal was to evaluate SPM results for different walking speeds using various gait cycle definitions. Participants in this study were 10 young, healthy adults. To figure out the …