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Breast Cancer Detection Using Adaptable Textile Antenna Design

  • Patient Facing Systems
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Abstract

In the field of medicinal applications, early / (Timely) detection of Breast cancer is a key diagnosing process which provides effective medical treatment and also reduces women mortality. Due to the advancement and growth of medical sciences, efficient antennas are needed for imaging, diagnosing and providing superior treatment to the patients. Since tumor is tiny in size at the early stage, the knowledge of its precise location is chiefly required. For this purpose several antennas with high accuracy are designed. Among them, Flexible antenna has several advantages compared to other antennas. The main advantage of flexible antenna is its simple construction, high gain and cost-efficiency. The proposed research work implements a novel flexible antenna for detection of early breast cancer, with and without tumor application. In the study, (for the sake of comprehensive analysis and accuracy / familiarity / simplicity), Jean material is used as dielectric substrate with dielectric constant 1.7. The flexible antennas are designed with a slot loaded over the patch and with ground plane that are made up of copper as the conducting material. The jeans cloth material with 1 mm thickness is considered as a substrate, which is to be placed on the breast surface. Co-axial feeding method is chosen for the proposed antenna which improves the antenna performance. In addition to this, the antenna is a wearable textile type designed for ISM (Industrial, Scientific and Medical) band 2.4 GHz applications. The antenna is simulated using HFSS (High Frequency Structure Spectrum) software. From the simulation analysis, Return loss (S11), Gain in dB, Radiation pattern, axial ratio (AR) and VSWR are obtained and analyzed. Finally, the simulation results are compared with the existing methodologies.

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Correspondence to Dhamodharan Srinivasan.

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Srinivasan, D., Gopalakrishnan, M. Breast Cancer Detection Using Adaptable Textile Antenna Design. J Med Syst 43, 177 (2019). https://doi.org/10.1007/s10916-019-1314-5

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