AI Video Biomarkers in Parkinson's Disease: Quantifying UPDRS Motor Scores from Home Recordings

Validating computer vision algorithms against gold-standard Movement Disorder Society Unified Parkinson's Disease Rating Scales (MDS-UPDRS).

The Clinical Need for Frequent Motor Assessment

Parkinson's symptoms fluctuate dramatically between medication doses (on/off states). Semi-annual clinic visits provide only brief snapshots that fail to capture daily motor fluctuations and medication wearing-off periods.

Extracting Motor Tremor and Bradykinesia from Video

Patients perform standardized motor tasks (finger tapping, hand opening/closing, and heel stomping) in front of their home camera. Computer vision algorithms measure movement amplitude decay and frequency slowing to calculate automated MDS-UPDRS sub-scores.

Optimizing Levodopa Dosing via Continuous Video Biomarkers

Providing neurologists with objective, longitudinal motor fluctuation charts enables precise titration of dopaminergic medications, minimizing dyskinesias and improving patient quality of life.

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