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Meta-heuristic optimization of antennas for biomedical applications

Author: Aaron Zachary Hood; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
Publisher: Mississippi State : Mississippi State University, 2013.
Dissertation: Thesis (Ph.D.) Mississippi State University. Department of Electrical and Computer Engineering 2013.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : English
Summary:
Given the proper conditions, antennas applied in medicine can offer improved quality of life to patients. However the human body proves hostile to typical, analytical antenna design techniques as it is composed entirely of frequency- and temperature-dependent lossy media. By combining optimization techniques with numerical methods, many of these challenges may be overcome. Particle swarm optimization (PSO) models  Read more...
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Genre/Form: Academic theses
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Aaron Zachary Hood; Mississippi State University,; Mississippi State University. Department of Electrical and Computer Engineering,
OCLC Number: 868032298
Notes: Title from PDF title screen (viewed on October 31, 2016).
Description: 1 online resource (xi, 159 pages) : illustrations (chiefly color), color charts
Details: Mode of access: Internet via the World Wide Web.; System requirements: Internet connectivity; World Wide Web browser software; Adobe Acrobat Reader.
Responsibility: by Aaron Zachary Hood.
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Abstract:

Given the proper conditions, antennas applied in medicine can offer improved quality of life to patients. However the human body proves hostile to typical, analytical antenna design techniques as it is composed entirely of frequency- and temperature-dependent lossy media. By combining optimization techniques with numerical methods, many of these challenges may be overcome. Particle swarm optimization (PSO) models the solution process after the natural movement of groups such as swarms of bees as they search for food sources. This meta-heuristic procedure has proven adept at overcoming many challenging problems in the electromagnetics literature. Therefore, this dissertation explores PSO and some of its variants in the solution of two biomedical antenna problems. Recent advances in biosensor technology have led to miniaturized devices that are suitable for in vivo operation. While these sensors hold great promise for medical treatment, they demand a wireless installation for maximum patient benefit, which in turn demands quite specific antenna requirements. The antennas must be composed of biocompatible materials, and must be very small (no more than a few square centimeters) to minimize invasiveness. Here PSO is applied to design a 22.5 mm x 22.5 mm x 2.5 mm implantable serpentine planar inverted-F antenna for dual-band MedRadio and ISM operation. Measurements reveal the accuracy of the models. Hyperthermia is the process of elevating a patient’s temperature for therapeutic gain. Since the ancient Egyptians, physicians have employed hyperthermia in the destruction of cancerous tumors. Modern implementations typically apply electromagnetic radiation at radio and microwave frequencies to induce local or regional heating. In this dissertation PSO is used to evaluate candidate antennas for inclusion in an array of antennas with the aim of local adjuvant hyperthermia for breast cancer treatment. The near-field of the array is then optimized to induce a uniform specific absorption rate throughout the breast.

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