Gait Analysis by Causal Decomposition

Recent studies have investigated bilateral gaits based on the causality analysis of kinetic (or kinematic) signals recorded using both feet. However, these approaches not considered influence their simultaneous causation, which might lead to inaccurate inference. Furthermore, causal interaction has been within frequency domain. Therefore, in this study we attempted employ a causal-decomposition approach analyze gait. The vertical ground reaction force (VGRF) Parkinson's disease (PD) patients and healthy control (HC) individuals were taken as an example illustrate method. To achieve this, used ensemble empirical mode decomposition decompose left right VGRF into intrinsic functions (IMFs) from high low bands. strength (CIS) between each pair IMFs was then assessed through use instantaneous phase dependency. results show that CISes pairwise decomposed band can only markedly distinguish PD HC individuals, but also found significant correlation with progression, while other able produce this. In sum, for first time specific gait may reflect health status progression individuals. This finding help understand underlying mechanisms walking walking-related diseases, offer broad applications fields medicine engineering.