Quantitative AI Diagnostics for Parkinson's Disease Staging & Progression

Assessing Parkinson's disease progression traditional relies on intermittent clinical visits using subjective rating scales (UPDRS and Hoehn & Yahr). Minor motor fluctuations between clinic visits often go undocumented.

Kinematic Motion Tracking AI

By applying pose-estimation computer vision to routine patient video recordings, Petanux quantifies sub-conscious tremor frequency and movement velocity.

Clinical Innovations:

• Sub-Hz Tremor Quantification: Measures rest and postural tremor amplitude with millimeter spatial resolution.
• Bradykinesia Indexing: Tracks finger-tapping acceleration and motor decay over prolonged diagnostic sessions.
• Objective Staging Support: Provides neurologists with quantitative progression metrics to optimize dopaminergic medication dosages.