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  Abstract View: 114

Review Article

Systemic Overview of Microstrip Patch Antenna’s for Different Biomedical Applications

Govind Arora ORCID logo, Paramjot Maman, Ameya Sharma ORCID logo, Vivek Puri* ORCID logo

Abstract

Timely diagnosis is the most imperative parameter for the detection and hindrance with tissues (infected). Many conventional techniques are used for the diagnosis of the chronic disease like MRI, X-ray, mammography, ultrasound and other diagnosing methods. Nevertheless, they have some limitations. We epitomise between 4 and 34 % of all carcinogenic tissues are lacked because of poor malignant/benign cancer tissue on contrary. So, an alternative effective method is the right concern in the field of medical right now. Imaging with the help of patch antenna to detect chronic disease like breast cancer, oxidative stress syndrome etc. it has been proved to be a suitable potential method and there are many works in this area. All materials have different conductivity and permittivity. With the help of these antennas a 3D tissue structure which has different conductivity and permittivity is modelled in high-frequency structure simulator (HFSS) by means of Finite Element Method (FEM) which resolves electromagnetic field values and a microstrip patch antenna operation process. As compared with conventional antennas, microstrip patch antennas have enhanced benefits and better prospects. An integrated antenna’s plays an important or crucial role for supporting many applications in biomedical, commercial and in military fields. The antenna designed for these applications should be wideband, not sensitive to human body. In this present review precise application of the antenna in different biomedical aspects is considered. Furthermore, the author has also discussed about the analytical results using simulation models and experimental results for some of the major disease.
Keywords: Patch antennas, Biomaterial for antenna, Biomedical application, Cancer, Neurodegeneration
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Abstract View: 114

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Submitted: 15 Nov 2019
Revision: 16 Jun 2020
Accepted: 30 Jun 2020
ePublished: 01 Jul 2020
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