Welcome to DementiaGuard, an integrated digital solution designed to assist with managing patients suffering from dementia, particularly Alzheimer's disease. By using IoT, geo-location fencing, RF technology, and wearable devices, we aim to provide real-time monitoring, personalized care, and enhanced security for patients, ensuring peace of mind for caregivers.
- Project Overview
- Technologies Used
- Objectives
- System Architecture
- Project Timeline
- Team Members
- Research Gap
- Security & Privacy
- Future Enhancements
- References
- Contributing
- License
DementiaGuard offers an advanced IoT-based solution for tracking, monitoring, and enhancing the safety of dementia patients. The system ensures patient safety, delivers personalized therapy, and reduces the burden on caregivers by providing:
- Real-time tracking via GPS and RF technologies.
- Wearable devices with haptic feedback and emergency buttons.
- Geolocation fencing with alerts when patients move out of safe zones.
- Travel mode to provide supervised freedom without unnecessary alerts.
| Technology | Purpose |
|---|---|
| IoT (Internet of Things) | Integration with wearable devices for patient monitoring |
| GPS & RF Technology | Indoor and outdoor patient tracking |
| Bluetooth (BLE) | Connection between wearable devices and mobile apps |
| Firebase Cloud Messaging | Real-time notifications to caregivers |
| Node.js, Arduino, Python | Backend and device programming |
| React Native | Mobile app for caregivers and doctors |
| MQTT Protocol | Lightweight communication for IoT devices |
| Haptic Feedback Sensors | Physical alerts for patients via wearable devices |
| Pulse Rate Sensors | Continuous health monitoring |
To provide a digital healthcare system for real-time monitoring and enhanced care of dementia patients, focusing on their safety, independence, and overall well-being.
- Geolocation Fencing: Implement geo-fencing to alert caregivers when patients move out of safe zones.
- Indoor/Outdoor Tracking: Ensure seamless transition between indoor RF tracking and outdoor GPS.
- Travel Mode: Create a mode that allows supervised movement without unnecessary alerts.
- Real-Time Notifications: Send push notifications and SMS alerts to caregivers in emergencies.
- Cognitive Therapy Assistant: Provide personalized therapy assignments tailored to the patient’s needs.
Here’s a diagram representing the architecture of DementiaGuard:
The system is divided into multiple modules:
- Wearable Device: Tracks patient location and health metrics.
- Centralized Server: Manages data processing and integrates with mobile apps.
- Mobile Application: Accessible by caregivers and doctors for real-time monitoring and notifications.
We have followed a strict timeline to ensure the project is delivered on time:
| Task | Duration | Start Date | End Date |
|---|---|---|---|
| Research & Planning | 1 month | June 2024 | July 2024 |
| System Design | 1.5 months | July 2024 | August 2024 |
| Implementation | 3 months | August 2024 | November 2024 |
| Testing & Validation | 1.5 months | November 2024 | December 2024 |
| Deployment & Documentation | 1 month | December 2024 | January 2025 |
We are a team of dedicated software engineers with a focus on IoT and healthcare solutions:
| IT Number | Name |
|---|---|
| IT21304088 | Shabeer M.S.M |
| IT21358920 | Ranasinghe R.A.H.B. |
| IT21349560 | J.A.V.T. Jayaweera |
| IT21358234 | Perera K.A.S.N. |
Current IoT-based systems offer effective outdoor tracking using GPS, but they often lack accuracy indoors due to signal attenuation. Additionally, many existing systems generate false alerts when patients are accompanied by caregivers. DementiaGuard overcomes these limitations with a Bluetooth-based travel mode and a combined GPS-RF tracking system.
| Feature | Existing Systems | DementiaGuard |
|---|---|---|
| Indoor Tracking | Limited accuracy | RF-Based Precision |
| Outdoor Tracking | GPS only | GPS + RF |
| Travel Mode | No | Bluetooth Enabled |
| Push Notifications | Limited | Real-Time via FCM |
| SOS Alerts | Some | Emergency Button |
DementiaGuard ensures the security and privacy of patient data with:
- Data Encryption: All data in transit and at rest is encrypted using the latest encryption standards.
- Secure Authentication: Access to the system is restricted to authorized caregivers and healthcare providers.
- HIPAA Compliance: The system is designed to comply with healthcare regulations.
We plan to introduce the following features in future iterations:
- AI-Based Cognitive Monitoring: AI algorithms to detect early cognitive decline in patients.
- Machine Learning for Therapy: Personalization of cognitive exercises using machine learning.
- Expanded Market: Deploying DementiaGuard across hospitals and caregiving centers globally.
- World Health Organization (WHO): Dementia Statistics
- Alzheimer's Disease International: Dementia Facts and Figures
- A. Ahmed, M. Khan: IoT-based Real-time Healthcare Solutions – Access Link
