A Monopole Resonator Employing a Mono-Static Approach to Detect Strokes in the Brain
- DOI
- 10.2991/978-94-6463-252-1_19How to use a DOI?
- Keywords
- Monopole Resonator; Meander Line; Brain Tumor; Mono-static Radar
- Abstract
This work proposes a compact monopole antenna resonator with a modified ground plane to detect cancer related tumors in the brain. The meander line resonator is modeled on the economical dielectric substrate FR4. The design has dimensions of 9 × 16.8 × 1.6 mm3 and can radiate at 2.44 GHz with a 170 MHz bandwidth from 2.34 to 2.51 GHz. The proposed structure is compact in size, and it can be easy to assemble in microwave diagnostic systems. The proposed resonator is tested with a human head model in the full-wave simulator. The mono-static radar technique is used to detect unhealthy tissue in the brain. This technique employs RF reflection and detects brain tumors by comparing the variations in signals received from the brain model with and without the tumor. The radiation exposure due to the monopole resonator on the human head model was also analyzed using the full wave simulator.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shaik Rizwan AU - Kanaparthi V. Phani Kumar AU - Sandeep Kumar Palaniswamy PY - 2023 DA - 2023/11/09 TI - A Monopole Resonator Employing a Mono-Static Approach to Detect Strokes in the Brain BT - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023) PB - Atlantis Press SP - 160 EP - 168 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-252-1_19 DO - 10.2991/978-94-6463-252-1_19 ID - Rizwan2023 ER -