Finger Tap Assessment

Fine Motor Measurement, Designed for Decision-Ready Evidence

Fine motor performance is one of the most clinically meaningful indicators of neurological function. However, traditional finger tap exams depend on clinician observation. As a result, they often miss the subtle early changes that define treatment effect.

Koneksa’s Finger Tap Assessment takes a different approach. Instead of observation, it uses high-resolution capture on provisioned iPhones. Each seconds-long session becomes a quantitative, longitudinal signal of fine motor function. Moreover, the assessment sustains roughly 90% average compliance across remote visits.

Why Measure Fine Motor Function Remotely

In conditions like Parkinson’s disease, MS, Huntington’s, and ALS, fine motor change often sits on the causal pathway of disease or treatment effect. Yet it fluctuates day to day and hour to hour. Consequently, a single in-clinic exam captures one moment of a moving signal.

Remote, repeated capture builds a longitudinal picture instead: decline trajectories, within-day fluctuation, and treatment-related change that episodic visits cannot resolve. In addition, provisioned devices and structured guidance keep the data standardized across sites and studies. Scores no longer vary with each rater and clinic. Finally, the finger tap assessment packages all of this into a protocol-ready component. It drops into a broader measurement strategy alongside motor, cognitive, and functional measures.

Inside the Finger Tap Assessment Fact Sheet

• The four endpoint-ready measures from a single session, and the symptom domain each one resolves
• How the assessment adapts to disease and study intent, with SDTM-ready exports
• Where teams have deployed it across Parkinson’s, MS, Huntington’s, and ALS programs, and what it surfaces that clinic visits miss

Download the fact sheet. Or, for full configuration and pipeline detail, schedule a scientific consultation to explore the finger tap blueprint.