Date of Award

8-1-2022

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Electrical and Computer Engineering

Content Description

1 online resource (xvi, 168 pages) : illustrations (some color)

Dissertation/Thesis Chair

Gary Saulnier

Committee Members

Jonathan Newell, James Moulic, Mohammed Agamy

Keywords

Adaptive Current Source, ECG, EIT, Electrical impedance tomography, Electrocardiography, Lungs

Subject Categories

Electrical and Electronics

Abstract

Electrical Impedance Tomography (EIT) is a promising medical imaging technique used to detect the body's internal electrical characteristics based on electrical measurements made on its surface. EIT systems, particularly those that use parallel, multiple source architectures, require current sources with very high output impedance. This is a usual challenge for EIT as the practical current sources come with finite output impedance, which is highly degraded as the operation frequency gets wider. To overcome this challenge and maintain the high output impedance requirement, sources often use complex analog circuits which require manual or electronically-controlled adjustments.

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