— Data, Models and Insights —
Digital Measurement Framework
From step counts to speech patterns, Koneksa algorithms translate multimodal data streams into reliable, research-grade digital measures — remotely, consistently, and at scale.
Why it Matters
Sensor
Algorithm
Digital Measurement
Insights
Smarter Data, Better Decisions
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Modern clinical trials generate data from multiple sources — smartphones, wearables, and patient-reported tools. Koneksa’s validated algorithms are the connective tissue, transforming this raw, real-world data into sensitive, regulatory-grade digital biomarkers.
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Our solutions help quantify symptoms traditionally assessed subjectively, such as tremor, sleep, gait, and cognitive function — improving signal detection and trial efficiency across therapeutic areas like Parkinson’s disease, oncology, respiratory conditions, and more.
Our Digital Measurement Framework
Built for Real-World Clinical Research
Koneksa supports a full spectrum of digital data capture, from passive wearables to structured tasks — powered by our advanced algorithms:
Concept | Measure | Example Devices |
|---|---|---|
Gait & Mobility | Step length, gait speed, stride period, freezing index | Accelerometry devices (e.g., ActiGraph CPIW, iPhone) |
Turn Detection | Turn angle, duration, rate | Accelerometry devices |
Upper Limb Function | Pronation/supination count, rate, smoothness | Wearable accelerometry devices (e.g., ActiGraph CPIW, Empatica Embrace Plus) |
Sleep Analytics | Wake after sleep onset, total sleep time, efficiency | Wearable accelerometry devices (e.g., ActiGraph CPIW, Empatica Embrace Plus) |
Voice Biomarkers | Speech variability, pauses, articulation, pitch | Smartphone voice capture |
Tremor Biomarkers | Peak tremor frequency, tremor energy | Accelerometry devices |
Finger Dexterity | Number of taps, tapping speed, tap regularity | iPhone |
Cardiac Function | Mean heart rate, heart rate variability (e.g., RMSSD) | PPG devices (e.g., Empatica Embrace Plus, Corsano) |
Learn more about these measurements and others:
Algorithm-Driven Measurement in Parkinson’s Disease
Core Koneksa assessments:
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Gait & Balance
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Postural, resting and kinetic tremor
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Pronation/Supination
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Finger Tap
Optional 3rd party integrated assessments:
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Speech
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Cognition
Wrist-worn passive measures:
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Gait
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Walk detection
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Physical activity
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Sleep
PROs:
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Configured to clinical research requirements
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Ex: sleep quality & duration
Our digital measurement solutions support an innovative new approach to data collection, compared to traditional subjective in-clinic assessments that depend on the difficult task of rating and quantifying tremor levels, gait and balance changes, and other key clinical aspects of Parkinson’s disease.
Flexibility Without Device Constraints
Our digital measures were developed with a device agnostic framework.
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This means that our measures can be calculated (prospectively or retrospectively) on any device that captures the appropriate data type.
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For example, we retrospectively used the mPower dataset to compare our digital measures in people with PD and healthy controls.
Tremor
Gait & Balance
Pronation/Supination
Finger Dexterity
Scientific & Regulatory Confidence
At Koneksa, we offer an end-to-end framework to ensure devices are technically sound, usable by study participants, seamlessly connected, and operationally supported across global trials. Whether driven by a sponsor or internal roadmap, we make devices study-ready—faster and with less risk.
