RADAR-IoT: An Open-Source, Interoperable, and Extensible IoT Gateway Framework for Health Research

Area of Science:

• Health Informatics
• Internet of Things (IoT)
• Wearable Technology

Background:

• Existing IoT healthcare solutions have limitations: closed-source, restricted protocols, and lack of health-specific features.
• A need exists for an open-source IoT gateway for reliable, broadly applicable health data integration.
• Combining IoT sensor data with mobile health (mHealth) data offers a holistic view of patient health.

Purpose of the Study:

• To develop RADAR-IoT, an open-source IoT gateway framework.
• To address limitations of current IoT healthcare solutions.
• To integrate diverse IoT devices and mHealth platforms for real-time health monitoring.

Main Methods:

• Developed the RADAR-IoT open-source framework.
• Enabled edge connectivity for multiple IoT devices with on-device processing.
• Integrated RADAR-IoT with the RADAR-base mHealth cloud platform.
• Conducted a proof-of-concept data collection using prototype hardware.

Main Results:

• RADAR-IoT successfully connects diverse IoT devices at the edge.
• The framework facilitates limited on-device data processing and analysis.
• Integration with RADAR-base enables real-time data processing and a comprehensive health overview.
• Proof-of-concept demonstrated data collection in real-world settings.

Conclusions:

• RADAR-IoT provides a promising open-source solution for health research.
• The framework integrates static IoT sensors and wearables for a user's health and environment.
• Potential applications include infection control, chronic disease monitoring, and assistive care.