ElderEase

ElderEase is an intelligent, real-time senior health monitoring system designed to enable early detection of critical health conditions and support proactive caregiving.

The system simulates and processes vital health parameters—heart rate, SpO₂, and body temperature—through a modular, event-driven architecture. Using a structured pipeline built with Node-RED and open-source technologies, ElderEase validates physiological data, classifies health status (NORMAL, WARNING, EMERGENCY), and generates actionable insights for timely intervention.

Unlike traditional monitoring systems that only display raw data, ElderEase focuses on decision support by transforming health data into meaningful alerts, risk scores, and recommendations. This enables caregivers to quickly identify high-risk patients and respond effectively.

The architecture follows a scalable flow-based design with clearly separated modules:

• Vital Data Simulation

• Data Validation

• Rule-Based Decision Engine

• Monitoring & Logging

• Emergency Detection & Injection

Each module communicates via structured JSON, ensuring maintainability and seamless future integration.

The system tracks key operational metrics such as:

• Total readings processed

• Emergency event frequency

• Recent health trends and history

ElderEase is fully FOSS-compliant, built using Node.js and Node-RED, with no proprietary dependencies.

Designed as a scalable foundation, the system is being extended into a full-stack platform with:

• Real-time React dashboards for patients and guardians

• Backend APIs and MongoDB-based health records

• AI-driven anomaly detection and predictive health scoring

ElderEase aims to evolve into a proactive, data-driven healthcare system that reduces unattended medical risks and enables smarter, faster decision-making in elderly care.