
Clinical question
Can video quantify separate components of motor impairment instead of relying solely on one ordinal clinical score?
Study design
The researchers examined 4,073 finger-tapping videos from 446 people with Parkinson’s disease, extracting interpretable measures such as movement speed, amplitude, sequence effects and hesitations.
What the researchers found
Video-derived features tracked several clinically defined motor characteristics and supported prediction of clinician-assigned finger-tapping severity. The authors highlighted a need for future work on sensitivity to treatment and progression.
Why this matters for MedMeters
MedMeters Neuro could focus first on transparent features—repetition count, amplitude, rhythm and within-session change—then validate against clinician ratings and longitudinal follow-up.
What this does not prove
This is external research, not permission to reproduce or commercialize the official MDS-UPDRS scale. Performance depends on task, recording quality and patient cohort; disease detection is not a claimed MedMeters feature.
Interpretable and granular video-based quantification of motor characteristics from the finger-tapping test in Parkinson’s disease
Ehsan et al. · npj Parkinson’s Disease · 2026
DOI: 10.1038/s41531-026-01307-w