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— Digital Assessment Overview —
Finger Tap for Clinical Trials

Koneksa’s finger tap assessment transforms a standard neurological exam into a digital, remote, and objective measure of motor function.
Designed for clinical trials, this assessment enables consistent, high-frequency data capture to support more sensitive and interpretable assessment of change.
Participants use the Koneksa Mobile App on an iPhone to tap alternating on-screen buttons, capturing precise timing and motion data enabling objective, repeatable measurement of motor speed and control and supporting more consistent assessment across sites, visits and participants.

Key Features
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Measures finger dexterity through rapid on-screen tapping
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Configurable by hand, finger(s) used, and assessment duration
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Collects number of taps, tapping speed, correctness, and regularity
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Audio, written, and visual instructions for clarity
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Data captured via screen interaction and processed automatically
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Compatible with index or index + middle finger modes
Beyond the Assessment: The Koneksa Platform
Finger Tap data is captured through the Koneksa mobile app and integrated into a secure clinical data platform designed for decentralized trials.
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Real-time data validation and monitoring
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Automated feature extraction and processing
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Integration with wearable and clinical data
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Advanced analytics and machine learning for signal detection
Result: More reliable data. Clearer interpretation. Stronger clinical insight.

Watch the Assessment in Action
See how the finger tap assessment is performed in the Koneksa mobile app and how data is captured in real time.
Built for
Multi-Model Measurement
Finger tapping data can be combined with:
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Wearable-derived activity and mobility data
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ePRO and symptom reporting
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Additional digital and clinical assessments
This integrated approach supports a more complete view of disease progression and treatment response.

Integrated Digital Measures Across Domains
Finger tap data is collected alongside a range of digital assessments and physiological signals, enabling multi-modal measurement of patient function. The integrated approach supports more robust signal detection and a deeper understanding of change over time.

Sleep
Vital Signs
Pulse Oximetry
Gait + Balance
Cognitive
Speech
Tremor
Finger Tap
Physical Activity

Explore Additional Digital Assessments in Practice
Each assessment captures a distinct aspect of patient function within a broader measurement strategy:

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