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

PDF

Digital Publisher

Loma Linda University Libraries

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.

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

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