ActualSignal has developed an AI-powered platform that utilizes multiple sensors to objectively measure a wide range of Parkinson's symptoms, enabling continuous monitoring and personalized disease profiles. This technology addresses the limitations of subjective assessments in current Parkinson's care, improving clinical decision-making and patient outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Current Parkinson's disease care relies on subjective assessments, which provide only a snapshot of a patient's condition and may not accurately reflect the fluctuations in symptoms. The lack of continuous, objective monitoring hinders optimal clinical decision-making and can compromise the patient journey, potentially leading to disease escalation and hospital admissions.
Solution
ActualSignal offers an AI-powered platform that uses multiple sensors to objectively measure a wide range of Parkinson's symptoms, enabling continuous monitoring and personalized disease profiles. By integrating assisted evaluation, passive data collection, and active patient engagement into the neurological clinical workflow, ActualSignal aims to provide a more comprehensive and data-driven approach to Parkinson's care management. The platform captures a variety of Parkinson's symptoms, providing clinicians with objective measurements to support better-informed treatment decisions and improve patient outcomes.
Target Audience
The primary target audience includes healthcare providers, hospital administrators, and patients involved in Parkinson's disease care.
Features
- AI-powered platform integrating multiple sensors for objective measurement of Parkinson's symptoms.
- Continuous monitoring capabilities for capturing fluctuations in patient condition.
- Personalized disease profiles generated from sensor data and AI analysis.
- Integration into the neurological clinical workflow, combining assisted evaluation, passive data collection, and active patient engagement.