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Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy
Marilena Ianculescu1, Victor-Ștefan Constantin1, Andreea-Maria Gușatu1
1National Institute for Research and Development in Informatics, 011455 Bucharest, Romania.
Sensors (Basel, Switzerland)
|April 12, 2025
Summary
The Monit4Healthy system offers real-time IoT health monitoring using edge computing for efficient signal processing and hybrid communication. This enhances remote patient data evaluation, improving connected health ecosystems.
Area of Science:
- Biomedical Engineering
- Internet of Things (IoT)
- Wearable Technology
Background:
- Real-time biomedical signal processing, energy efficiency, and data transmission are critical challenges in remote health monitoring.
- Existing solutions often face limitations in handling large data volumes and maintaining low latency.
Purpose of the Study:
- To introduce the Monit4Healthy system, an IoT-enabled solution designed to overcome challenges in real-time biomedical signal processing and data management.
- To evaluate the system's effectiveness in remote health information gathering and evaluation.
Main Methods:
- Utilized a modular design integrating wireless communication (Bluetooth Low Energy, Wi-Fi) with physiological sensors (GSR, EMG, PPG, EKG).
- Implemented edge computing for real-time signal filtering and feature extraction to reduce network load.
- Employed hybrid communication for flexible data transmission based on context and bandwidth.
Main Results:
- Laboratory testing demonstrated reliable wireless connectivity and sustained battery-powered operation under typical monitoring scenarios.
- The system effectively filters signals, extracts features, and transmits data, ensuring signal reliability while lowering latency and data volume compared to cloud-only systems.
- Responsive power management and structured data transmission enhance system resiliency.
Conclusions:
- The Monit4Healthy system is suitable for scalable deployment in connected health and portable monitoring.
- It complements existing IoT health solutions by integrating context-aware processing, flexible design, and efficient communication for improved clinical and smart city healthcare integration.
- Further validation requires energy profiling, hardware miniaturization, and sustained real-world testing.
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