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Design and Optimization of Stacked Wideband On-Body Antenna with Parasitic Elements and Defected Ground Structure for
Mariana Amador1, Mobayode O Akinsolu2, Qiang Hua3
1Instituto de Telecomunicações, Departamento de Eletrónica, Telecomunicações e Informática, Universidade de Aveiro, 3810-193 Aveiro, Portugal.
Bioengineering (Basel, Switzerland)
|February 26, 2025
Summary
This study introduces an AI-optimized on-body antenna for vital sign monitoring. The novel design significantly enhances antenna bandwidth, ensuring reliable performance across diverse users.
Area of Science:
- Electromagnetic waves
- Biomedical engineering
- Antenna design
Background:
- On-body antennas offer non-intrusive vital sign monitoring.
- Designing on-body antennas is challenging due to high dielectric constants of human tissues.
- Inter-individual variability in body tissues affects antenna performance.
Purpose of the Study:
- To design and optimize a novel on-body microstrip antenna for enhanced bandwidth and robustness.
- To address the challenges of inter-individual variability in on-body antenna design.
- To utilize artificial intelligence for antenna optimization.
Main Methods:
- Developed a stacked microstrip antenna with parasitic elements and a defected ground structure.
- Employed an AI-driven design approach: self-adaptive Bayesian neural network surrogate-model-assisted differential evolution for antenna optimization (SB-SADEA).
- Optimized 27 tuneable design parameters using the SB-SADEA method with a simplified body model.
Main Results:
- Simulated impedance bandwidth increased from 150 MHz to 1.3 GHz.
- Analyzed the impact of inter-individual variability on S-parameters.
- Measured bandwidth reached 1.6 GHz for certain subjects, demonstrating robustness.
Conclusions:
- The AI-optimized on-body antenna achieves significantly enhanced bandwidth.
- The SB-SADEA method effectively addresses design challenges posed by human tissue variability.
- The developed antenna shows promise for reliable daily vital sign monitoring.
