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Title: | Radiation effects of wearable antenna on human tissues | Authors: | Gunasegaran Uma Maheswari | Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2018 | Abstract: | Nowadays human life is comprehensively surrounded by many number of wireless devices and gadgets. Modern generation lives and works in wireless application devices such as mobile phones, remote control, GPS tracking devices that makes our living more comfortable and accessible. It directly infers that we are continuously in contact with electromagnetic fields. It is very essential to study the effects of electromagnetic fields on human body, only to understand the possible health effects that these electromagnetic fields can cause on human body. In this project, four layers of the human tissue i.e., skin, fat, muscle and bone were also designed with all their required parameters embedded into it. The multilayer human tissue model is exposed for exemplary frequencies from 0.4 GHz to 3 GHz. The multilayer human tissue model was designed and verified in the Computer Simulation Technology (CST) using the Microwave and Bio Medical Device-Magnetic Resonance Imaging (MRI). This project focuses on studying the radiation effects in human tissues on exposure to electromagnetic fields emitted from one particular antenna. The antenna designed is a dual band antenna embedded within a wrist wearable Personal Locator Device (PLD). It is capable of transmitting distress signals alerts (Beacons) and receives GPS signals simultaneously. The simulation is performed and analysed for different human body parts such as arm in specific. The arm is chosen since the antenna is worn on the wrist part of the arm. The antenna has been designed and reproduced using the Computer Simulation Technology (CST) and the simulations are run to study the radiation effects. To check and determine whether the antenna could be safe or not, Specific Absorption Rate (SAR) and temperature increase have been calculated and tabulated for different human tissues. | URI: | http://hdl.handle.net/10356/76282 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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Gunasegaran Uma Maheswari_2018.pdf Restricted Access | Main artcile | 2.54 MB | Adobe PDF | View/Open |
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