AI RESEARCH

Topological descriptors of foot clearance gait dynamics improve differential diagnosis of Parkinsonism

arXiv CS.LG

ArXi:2603.06212v1 Announce Type: new Differential diagnosis among parkinsonian syndromes remains a clinical challenge due to overlapping motor symptoms and subtle gait abnormalities. Accurate differentiation is crucial for treatment planning and prognosis. While gait analysis is a well established approach for assessing motor impairments, conventional methods often overlook hidden nonlinear and structural features embedded in foot clearance patterns. We evaluated Topological Data Analysis (TDA) as a complementary tool for Parkinsonism classification using foot clearance time series.