Document Type

Thesis

Date of Award

5-31-1989

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical Engineering

First Advisor

Stanley S. Reisman

Second Advisor

John D. Carpinelli

Third Advisor

Kennth J. Friedman

Abstract

This thesis presents the development and implementation of an intelligent electrocardiogram tutoring package, namely, EKGCHALLENGER which is meant for use in medical schools to teach medical students a method of diagnosing electro cardiograms.

EKGCHALLENGER is an IBM - PC based, user friendly package. It works in two basic modes. The first is a tutorial mode wherein the user is taught the step-by-step diagnosis of electrocardiograms ( EKGs ) which are presented in order of increasing difficulty. The second is the challenger mode wherein the user is asked to diagnose EKGs which are randomly chosen from an EKG database. The diagnosis of the user is compared with that of an expert system, (which is a section of this package) so that a score can be awarded to the user as a measure of his competence in diagnosing cardiac arrhythmias.

The expert system is written in Prolog. It is a rule-based system and has, at present, the capability of diagnosing 43 kinds of cardiac arrhythmias using a depth-first mode of search. The 43 arrhythmias detected by the system include the cardiac arrhythmias encountered under emergency conditions.

This expert system can also be used as a stand-alone unit either as a learning tool which a student can use to practice diagnosing EKGs, or as a preliminary diagnostic tool by non-trained individuals who are assisting patients entering the emergency medical system.

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