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Advancing the science of continuous neurological monitoring. Our peer-reviewed research and clinical studies validate ActualSignal's approach to objective, real-world Parkinson's disease assessment.
Video assessments
Days of days
with activity data
Patient reported
data points
Monitored patients
Movement Disorders Clinical Practice — In collaboration with Kansas University Medical Center
This IRB-approved clinical investigation evaluates the accuracy of ActualSignal's computer vision pipeline for scoring bradykinesia via smartphone-recorded finger-tapping tests against gold-standard MDS-UPDRS Part III examinations.
Presented at 24th Annual Parkinson Educational Symposium, Norman Fixel Institute
Engagement metrics and clinical intervention outcomes from commercial RTM deployments across four neurology clinics, demonstrating 90% monthly eligibility rates and 15 successful care management interventions.
ActualSignal Technical Reports
This white paper outlines ActualSignal's three-tier platform strategy — Monitor, Detect, Deliver — and its alignment with ACO shared-risk models and Medicare Advantage economics for scalable neurological care.
Digital Biomarkers
Leveraging OS-validated step detection from Google Fit and Apple HealthKit, this study demonstrates that passive smartphone gait monitoring can detect clinically meaningful cadence reductions 2-3 weeks before clinical deterioration.
Presented at HLTH 2025, Boston, MA
Preliminary results from the Kansas University validation study showing strong concordance between ActualSignal's computer vision bradykinesia scores and expert neurologist MDS-UPDRS ratings across ON and OFF medication states.
RESEARCH COLLABORATORS
Kansas University Medical Center | Norman Fixel Institute | Florida ACO Partners
We partner with academic medical centers, neurology practices, and ACOs to advance digital neurology research.
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