Interpretable Video-Based Tracking and Quantification of Parkinsonism Clinical Motor States
Daniel Deng,
Jill L. Ostrem,
Vy Nguyen
et al.
Abstract:The ability to quantify motor symptom progression in Parkinson’s disease (PD) patients is crucial for assessing disease progression and for optimizing therapeutic interventions, such as dopaminergic medications and deep brain stimulation. Cumulative and heuristic clinical experience has identified various clinical signs associated with PD severity but these are neither objectively quantifiable or robustly validated. Video-based objective symptom quantification enabled by machine learning (ML) introduces a pote… Show more
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