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Published on: August 12, 2018
Compact stacked planar inverted-F antenna for passive deep brain stimulation implants
Md Kamal Hosain1, Abbas Z Kouzani, Susannah Tye
1School of Engineering, Deakin University, Geelong, Victoria 3216, Australia. mhosain@deakin.edu.au
Summary
A compact UHF antenna is developed for deep brain stimulation (DBS) implants, offering a small size and high data rates. Its design ensures stable performance within skin tissue, making it suitable for wireless power transmission.
Area of Science:
- Electromagnetic Engineering
- Biomedical Engineering
- Implantable Devices
Background:
- Deep brain stimulation (DBS) requires miniaturized, efficient antennas for implants.
- The Ultra-High Frequency (UHF) band is suitable for small antennas with high data rates.
- Existing antenna designs may face challenges with size, bandwidth, and biocompatibility for DBS.
Purpose of the Study:
- To design and simulate a compact, circular planar inverted-F antenna for passive DBS implants.
- To optimize antenna parameters for operation within the UHF band (902.75 - 927.25 MHz).
- To evaluate the antenna's performance in free space and within a simulated skin-tissue model.
Main Methods:
- A three-layer stacked meandered antenna design was employed.
- Low-cost FR-4 substrate and biocompatible silicone superstrate were utilized.
- Finite Element Method (FEM) was used for simulation and analysis, including gain patterns in a skin-tissue model.
Main Results:
- The antenna achieved a resonance frequency of 918 MHz with a 24 MHz bandwidth at -10 dB return loss.
- The antenna's dimensions were limited to a radius of 5 mm and height of 1.64 mm.
- Stable antenna characteristics were observed within the simulated skin-tissue model.
Conclusions:
- The compact, wide-bandwidth, circular antenna is well-suited for DBS implants due to its stable performance in skin.
- The design facilitates wireless power transmission feasibility for implants within the human head.
- This antenna represents a promising solution for enhancing DBS system functionality and reliability.
