Knowledge based signal processing and scoring system for the exercise electrocardiogram

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Title Knowledge based signal processing and scoring system for the exercise electrocardiogram
Publication Type dissertation
School or College School of Medicine
Department Biomedical Informatics
Author Liang, Royce Ching-Yu
Date 1990-12
Description Analysis of exercise electrocardiogram (ECG) signals is used to evaluate the status of patients suspected of having ischemia problems. Since exercise tests generate a large volume of ECG signals, several computerized systems have been built to match the special needs of the exercise testing using predesigned methods. If systems, however, have all been programmed with fixed processing algorithms set by the developer, there is limited ability for the user to modify the methodologies used to obtain measurements and to interpret test results. The goal of this research was to develop a knowledge base controlled digital signal processing and numerical scoring system. The system's flexibility was provided by the knowledge based structure other than predesigned subroutines. The scores are numerical results calculated by user defined scoring equations and rules based on the test data. Each test can have one or more scores which are the integration of the measurements and can be treated as the medical decision of the test. With the knowledge based structure, the system can be used not only as a clinical tool for evaluation of coronary artery disease using accepted predefined scoring rules, but also as an exercise testing methodology research tool to test user defined rules. Results accuracy and the system flexibility have been tested based on real data from patients and artificial data. The system is now being used at the exercise testing facility of LDS Hospital, Salt Lake City, Uta
Type Text
Publisher University of Utah
Subject Exercise Test; Expert Systems; Ischemia; Medical Informatics Computing
Subject MESH Coronary Disease; Decision Making, Computer-Assisted; Electrocardiography
Dissertation Institution University of Utah
Dissertation Name PhD
Language eng
Relation is Version of Digital reproduction of "Knowledge based signal processing and scoring system for the exercise electrocardiogram." Spencer S. Eccles Health Sciences Library. Print version of "Knowledge based signal processing and scoring system for the exercise electrocardiogram." available at J. Willard Marriott Library Special Collection. RC39.5 1990 .L53.
Rights Management © Royce Ching-Yu Liang.
Format application/pdf
Format Medium application/pdf
Format Extent 1,386,858 bytes
Identifier undthes,5452
Source Original: University of Utah Spencer S. Eccles Health Sciences Library (no longer available).
Master File Extent 1,386,932 bytes
ARK ark:/87278/s61r6sbp
Setname ir_etd
ID 191458
Reference URL https://collections.lib.utah.edu/ark:/87278/s61r6sbp
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