If you are a telemedicine platform provider dealing with low patient adherence to home exercises — this project developed a suite of clinic and home apps with a virtual coach that increases the therapy dose at home.
AI-Driven Home Rehabilitation System for Stroke and Brain Disease Recovery
Imagine a digital coach that helps stroke survivors do their physical therapy at home while keeping their doctor in the loop. It uses a smart app and wearables to track progress and automatically adjusts the difficulty of exercises to keep the patient motivated. It's like having a personalized gym plan for the brain that updates in real-time based on how you're actually doing.
What needed solving
Stroke rehabilitation is often inconsistent after hospital discharge, leading to deteriorated gains and high long-term disability costs. Health systems lack objective tools to monitor home-based recovery and adjust therapy in real-time.
What was built
An end-to-end prototype consisting of a GDPR-aligned data pipeline, patient/clinician apps with a virtual coach, and AI modules for digital diagnosis and recovery forecasting.
Who needs this
Who can put this to work
If you are a private rehabilitation clinic dealing with uneven access to high-quality care after hospital discharge — this project developed a GDPR-aligned pipeline that gives clinicians objective, timely insight into patient recovery trajectories.
If you are a wearable health tech manufacturer dealing with raw data that lacks clinical meaning — this project developed AI components that turn wearable arm-use monitoring signals into actionable recommendations and digital diagnoses.
Quick answers
What is the cost or pricing model for this system?
Based on available project data, specific pricing for the end-user or licensing costs are not mentioned; however, the project received an EU contribution of EUR 2,496,674 for development.
Can this be scaled to an industrial level?
Yes, the project focuses on a pathway to impact that includes generating evidence through randomized evaluation to inform future CE-marking paths for wider adoption.
How is the intellectual property or licensing handled?
Based on available project data, the system is built upon Eodyne's previous RGS technology, suggesting the core IP resides with the coordinator, Eodyne Systems SL.
How does the system handle data privacy regulations?
The system uses a GDPR-aligned Virtual Research Environment and federated data practices to ensure sensitive records are processed in isolated, auditable workspaces.
How does this integrate with existing hospital workflows?
It integrates through a hospital-operated virtual research environment and apps that embed recommendations into tools patients and therapists already use.
Who built it
The consortium is lean and commercially oriented, consisting of 5 partners across 4 countries. With an industry ratio of 40% and 2 SMEs (including the coordinator Eodyne Systems SL), the group balances academic research from 2 universities and 1 research center with practical implementation expertise, specifically targeting the transition from prototype to CE-marking.
Contact EODYNE SYSTEMS SL in Spain for licensing and partnership inquiries.
Talk to the team behind this work.
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