Title :
Expert system for automatic phono-mechanocardiographic diagnosis
Author :
Khoor, S. ; Kékes, Ede ; Berentey, Ernó
Author_Institution :
Municipal Hospital, Merenyi, Budapest, Hungary
Abstract :
An expert system has been created for collecting, controlling, and categorizing phonomechanocardiographic data. LV (left ventricle) contraction, ejection, relaxation, and ventricular filling is detected by means of an apexcardiogram. The various forms and combinations of valvular heart disease are characterized by the phonospectra of the auscultation areas. The expert system Mechano has rule-based knowledge representation, backward chaining, uncertainty handling and explanation facilities. The database consists of data on 200 patients with ischemic heart disease and 140 patients with valvular heart disease. By using question nets the digitalized knowledge elements of the apex (amplitude-time intervals) and the phonomap (location, duration, amplitude of sounds, and murmurs) are automatically collected. The diagnosis of N different forms of valvular heart disease and the evaluation of LV functions are based on diagnosis rules containing values of possibilities determined by multiple statistical models (regression, factor, and cluster). The program, implemented on a PC, is written in Turbo Prolog
Keywords :
bioacoustics; biomechanics; cardiology; expert systems; medical diagnostic computing; Mechano; Turbo Prolog program; apexcardiogram; auscultation areas; automatic phonomechanocardiographic diagnosis; backward chaining; contraction; database; diagnosis; diagnosis rules; ejection; ischemic heart disease; left ventricle; multiple statistical models; murmurs; patient data; relaxation; rule-based knowledge representation; valvular heart disease; ventricular filling; Cardiac disease; Diagnostic expert systems; Filling; Heart; Hemodynamics; Hospitals; Medical diagnostic imaging; Medical expert systems; Signal analysis; Volume relaxation;
Conference_Titel :
Computers in Cardiology 1989, Proceedings.
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-2114-1
DOI :
10.1109/CIC.1989.130576