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Open Access Knowledge and Scholarship

Date of Award

3-2023

Culminating Project Type

Thesis

Styleguide

ieee

Degree Name

Electrical Engineering: M.S.

College

College of Liberal Arts

First Advisor

Yi Zheng

Second Advisor

Mahbub Hossain

Third Advisor

Aiping Yao

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

modeling, brain, passive electrical circuit, edema, hemorrhage

Abstract

Brain is the central and most complex organ in the human body. It controls most of the body functions, processing, integrating, and coordinating the information it receives from the organs, and sending decision instructions to the rest of the body. Brain injury may occur due to external environmental and/or internal influences. Timely diagnosing and differentiating the type of brain injury is critical. CT and MRI are often used for the diagnosis, which may not be available at a remote location or at an accident site or an emergency vehicle.

This thesis contributes to the modeling of the brain from the electrical point of view, considering the structural complexity of the head composed of biological tissues with different dielectric properties. The goal of the thesis is to develop electrical models of the brain using parameters of passive electrical circuits. The models are developed for a normal brain and a brain with pathological conditions such as edema (swelling) and hemorrhage (bleeding). The circuit models are simulated at a range of frequencies from 1 Hz to 200 kHz. The experiment data is collected on a sheep brain surrounded by phantom tissue using bioimpedance analyzer at a range of frequencies from 1 Hz to 200 kHz. The simulation results are compared with experiment data.

Comments/Acknowledgements

I would like to thank my advisor Dr. Yi Zheng for allowing me to work on the thesis. I am grateful to Dr. Zheng for helping me find that the topic of the thesis is something I would like to pursue in my future carrier. He has provided valuable insights throughout the development of this thesis and continuous support and encouragement throughout my entire study at St. Cloud State University.

I would like to thank Dr. Mahbub Hossain and Dr. Aiping Yao for being on the thesis committee. I would like to thank Arteom Katkov for helping me during the experimental phase of the thesis. I would also like to thank Tyler Turiff, Reece Meskimen and Nathan Gegg for using their bioimpedance analyzer senior design project in this work.

Finally, I would like to thank my family for their patience and continuous support.

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