Abstract
The SENSITIVITY ANALYSIS is performed on the transformation coefficients of the Frank XYZ signals generating standard 12-lead ECG with respect to diagnosis. The analysis is adapted for the individual waveform and per each lead. The disease/abnormality categories are described in terms of discrete pattern classes based on criteria used by Marquette Electronics, Inc. The nonlinear global sensitivity analysis method developed by Shuler, et al, is selected for this project. The diagnostic change in the waveform is denoted by a distance measurement from the pattern class boundary corresponding to the best-experimental coefficient estimates (Dower coefficients) to the alternate coefficient specification measurement in pattern space.
The findings demonstrate the diversity in sensitivity among the different disease groups and the independent behavior of the individual waveforms. Horizontal and vertical modifications associated with the coefficients of the X and Y lead signals appear to be more critical in comparison with the transverse (Z) modifications.
Department
Mathematical Sciences
School
Graduate School
First Advisor
S. Andrew Yakush
Second Advisor
Roy V. Jutzy
Third Advisor
Ivan R. Neilsen
Fourth Advisor
Paul Y. Yahiku
Fifth Advisor
Grenith J. Zimmerman
Degree Name
Doctor of Philosophy (Medical Science)
Degree Level
Ph.D.
Year Degree Awarded
1985
Date (Title Page)
9-1985
Language
English
Library of Congress/MESH Subject Headings
Electrocardiography; Mathematics
Type
Dissertation
Page Count
ix; 346
Digital Format
Digital Publisher
Loma Linda University Libraries
Copyright
Author
Usage Rights
This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights.
Recommended Citation
Draugelis, Rasa Ona, "A Sensitivity Analysis of the Coefficients for the Transformation of the Electrocardiographic Orthogonal Three-lead System (Frank) to the Standard Twelve-lead System" (1985). Loma Linda University Electronic Theses, Dissertations & Projects. 1460.
https://scholarsrepository.llu.edu/etd/1460
Collection
Loma Linda University Electronic Theses and Dissertations
Collection Website
http://scholarsrepository.llu.edu/etd/
Repository
Loma Linda University. Del E. Webb Memorial Library. University Archives
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Biostatistics Commons, Mathematics Commons