Zhang, Yifan
(2019)
Stent Location Measurement in the Human Body Using Flexible Antenna.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Artery injury related hemorrhage is the leading cause of death for soldiers on the battlefield. To save their lives, a perfusion stent has been developed for hemostasis by covering the wound while the blood could still flush through. One basic requirement for such a stent is to place it at marked position where the stent only covers the trauma, while vital vessel branches are not blocked.
This idea is achieved by radio frequency devices, basically including an active radiator called transmitter, and a passive receiver. When the transmitter and the receiver are fixed at certain positions, there would be a unique curve depicting the power magnitude varying with frequency. For preparation, we regularly move the receiver to several positions and record the power curve related with the relative position between the transmitter and the receiver. In field test, when the transmitter is provided with the same frequency scope, if the power curve pattern is matched with one of the recorded patterns, we determine the relative position related with the matched pattern. To realize this purpose, this thesis first focusses on how to improve the circuit structure so that a radiation power is strong enough to be detected. Lots of modeling simulations are included in this part. Next, neural network is applied for the pattern classifying. Though the algorithm for neural network is not the concern of this thesis.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
10 September 2019 |
Date Type: |
Publication |
Defense Date: |
3 May 2019 |
Approval Date: |
10 September 2019 |
Submission Date: |
1 July 2019 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
122 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Mechanical Engineering |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
Radio frequency, location measurement, antenna performance, impedance matching, neural network |
Date Deposited: |
10 Sep 2019 15:12 |
Last Modified: |
10 Sep 2019 15:12 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/37029 |
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