Client: AAL

Project Duration: 30 months

Objective:

The core objective of the RecoveryFun project was to develop a cutting-edge, integrated home rehabilitation management solution. This project focused on upper limb rehabilitation and cognitive stimulation, utilizing Virtual Reality (VR), Internet of Things (IoT) connectivity, and Artificial Intelligence (AI). The aim was to provide a more proactive, personalized, and engaging rehabilitation experience for people with chronic health conditions, particularly older adults.

Scope of Work:

1. Conceptualization:

   - Developed the RecoveryFun concept, integrating VR, IoT, and AI for a comprehensive rehabilitation solution.

   - Focused on addressing the needs of older adults for rehabilitation and frailty prevention.

2. Development:

   -  Integrated with VR-based exergames tailored for rehabilitation needs.

   -  Integrated with a digital health record management platform for clinicians.

   - Integrated with IoT connectivity for real-time biosignal monitoring.

   - Designed and developed a mobile app for non-professional caregivers.

3. Implementation:

   - Contributed to the implementation of a connected ecosystem of innovative medical hardware.

   - Implemented a mobile app for non-professional caregivers

4. Validation and Testing:

   - Conducted functional tests and clinical validations to ensure effectiveness and safety.

   - Addressed the interoperability with existing clinical infrastructures.

5. Deployment:

   - Contributed to the launch of the RecoveryFun solution for use in home care settings.

   - Contributed to a tele-rehabilitation option for clinics to expand their services.

Technologies:

- VR-Based Exergames: For engaging and effective rehabilitation.

- IoT Devices: For remote monitoring of patients' health parameters.

- Smart Algorithms: Personalized rehabilitative care based on AI.

Outcomes & Benefits:

- Enhanced Rehabilitation Opportunities: Increased access and quality of rehabilitation for chronic health conditions.

- Proactive and Personalized Care: Tailored rehabilitation plans based on individual needs and conditions.

- Frailty Prevention: Promoting active lifestyles in older adults to improve community health profiles.

- Innovation in Tele-Rehabilitation: A radical shift in service models, combining VR, IoT, and AI for home care.

- Cost-Effective Solution: Facilitated remote supervised rehabilitation, reducing operational costs for clinics.

- Increased Clinician Efficiency: Smart Dashboard and Decision Support System for improved clinical decisions.

- Improved Patient Engagement: Interactive exergames and caregiver involvement via the mobile app.

Team Composition:

- Project Managers

- VR and AI Developers

- IoT Specialists

- Clinical Researchers

- User Experience Designers

Business Impact and Value Realization:

- Competitive Edge: RecoveryFun's innovative approach positions it ahead of traditional rehabilitation methods.

- Clinical Validation: Addressing the gap in clinically validated rehabilitation technologies.

- Improved Health Outcomes: Enhanced quality of life and health profiles for older adults.

- Market Expansion: Enabling clinics to extend their services to home care settings.

- Community Health Impact: Contributing to the reduction of frailty states in older populations.

In summary, the RecoveryFun project represents a significant advancement in home rehabilitation solutions, leveraging the latest technologies to offer a more personalized, engaging, and effective approach to patient care. This project not only improves the rehabilitation experience for patients but also provides a scalable and innovative model for healthcare providers.

This work was supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS/CCCDI –

UEFISCDI and of the AAL Programme, with co-funding from the European Union`s Horizon 2020

research and innovation programme, project number 271/2022, within PNCDI III