A Graph-Theoretic Approach to Detection of Parkinsonian Freezing of Gait From Videos.

ABSTRACT: Freezing of Gait (FOG) is a prevalent symptom in advanced Parkinson's Disease (PD), characterized by intermittent transitions between normal gait and freezing episodes. This study introduces a novel graph-theoretic approach to detect FOG from video data of PD patients. We construct a sequence of pose graphs that represent the spatial relations and temporal progression of a patient's posture over time. Each graph node corresponds to an estimated joint position, while the edges reflect the anatomical connections and their proximity. We propose a hypothesis testing procedure that deploys the Fréchet statistics to identify break points in time between regular gait and FOG episodes, where we model the central tendency and dispersion of the pose graphs in the presentation of graph Laplacian matr

SUBMITTER: Liu Q 

PROVIDER: S-EPMC11841038 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature