This investigation looks to use graph signal processing to generate a functional graph over the anatomical leg and assess the extracted functional information and its viability in modeling underlying physiological factors. The generated graph is constructed on the edge dimensions of node to node coherences and fractal dimension differences. The resultant graph structure is then analyzed to observe if extracted functional data shows alignment with underlying structures via a generalized linear mixed-effect mode
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