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Published on: March 20, 2020
Breast Cancer Detection Using Adaptable Textile Antenna Design
Dhamodharan Srinivasan1, Mohanbabu Gopalakrishnan2
1Department of ECE, SSM Institute of Engineering and Technology, Dindigul, India. dhamu20@gmail.com.
This study introduces a novel flexible antenna for early breast cancer detection. Designed using Jean material and operating in the 2.4 GHz ISM band, it offers a cost-effective, high-gain solution for improved medical imaging.
Area of Science:
- Medical Imaging and Diagnostics
- Wearable Technology
- Antenna Engineering
Background:
- Early breast cancer detection is crucial for effective treatment and reducing mortality.
- Advancements in medical science necessitate efficient antennas for improved diagnostic capabilities.
- Flexible antennas offer advantages like simple construction, high gain, and cost-efficiency.
Purpose of the Study:
- To design and analyze a novel flexible antenna for early breast cancer detection.
- To evaluate the antenna's performance with and without tumor simulation.
- To explore the use of textile materials for wearable medical devices.
Main Methods:
- A flexible antenna was designed using Jean material (dielectric constant 1.7) as a substrate.
- The antenna featured a slot-loaded patch, copper ground plane, and coaxial feeding.
- Simulations were performed using High Frequency Structure Spectrum (HFSS) software for the Industrial, Scientific, and Medical (ISM) 2.4 GHz band.
Main Results:
- Key performance parameters including Return Loss (S11), Gain, Radiation Pattern, Axial Ratio (AR), and VSWR were obtained.
- The antenna's performance was analyzed for its suitability in breast cancer detection applications.
- Simulation results were compared against existing methodologies for validation.
Conclusions:
- The proposed flexible antenna demonstrates potential for early breast cancer detection.
- The use of textile substrates like Jean material offers a viable path for wearable medical antennas.
- Further research and validation are needed to confirm clinical applicability.
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