A Novel Energy-Efficient Health Monitoring System With Electromagnetic-Reducing Dual-Band Antenna
This work presents a novel energy-efficient health monitoring system equipped with an electromagnetic-reducing dual-band antenna. The system features three adaptive measurement modes to save power consumption, Bluetooth low energy (BLE)/Wi-Fi communication, a health status display, and real-time alerts. This article introduces four contributions including: 1) a dual-band wearable antenna operating in the industrial, scientific, and medical (ISM) band; 2) an electromagnetic band gap (EBG) layer that minimizes interaction between the antenna and the human body, reducing specific absorption rate (SAR) values and enhancing performance; 3) a custom-built circuit comprising processing and power management modules; and 4) a dynamic algorithm that adjusts the measurement interval based on the patient’s condition. The EBG layer achieves a significant SAR reduction at 2.45 and 5.8 GHz, lowering values from 3.51 to 0.34 W/kg and 2.4 to 0.43 W/kg, respectively. Unlike traditional systems that rely on fixed monitoring cycles, this device can adaptively adjust its measurement frequency, reducing energy consumption by up to 80.1%. The system was tested and validated across four devices, a gateway, and a Thingsboard platform, achieving an improved signal-to-noise ratio (SNR) of 3–9 dB compared to commercial counterparts and a system latency of under 50 ms.
Authors
- Minh Thuy Le (ORCID: https://orcid.org/0000-0002-5712-7032)
- Mai Chi Nguyen (ORCID: https://orcid.org/0009-0008-6240-5413)
- Hoa Le Minh (ORCID: https://orcid.org/0000-0002-3884-532X)
- Nguyen Quoc Dinh (ORCID: https://orcid.org/0000-0001-6622-5155)
- Kien Nguyen (ORCID: https://orcid.org/0000-0003-0400-3084)
- Quoc Cuong Nguyen (ORCID: https://orcid.org/0000-0002-5641-5040)
- Tam Nguyen Thanh
Institutions
- Le Quy Don Technical University (VN)
- Chiba University (JP)
- Northumbria University (GB)
- Hanoi University of Science and Technology (VN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1109/jsen.2025.3553929
- Citations
- 3
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 2.19