Title :
Comparison of exercise algorithms for diagnosis of coronary artery disease
Author :
Deckers, J.W. ; Rensing, B.J. ; Vinke, R.V.H. ; Simoons, M.L.
Author_Institution :
Acad. Hospital ´´Dijkzigt´´, Netherlands
Abstract :
The following previously proposed exercise algorithms were evaluated: (a) the cumulative area of ST-segment depression during exercise, (b) discriminant analysis of various exercise variables and (c) heart-rate-adjusted ST-segment amplitude changes. The study population comprised 345 males without a history of myocardial infarction. Prevalence of coronary artery disease was 51%. All had a normal ECG at rest. Frank-lead ECG were computer processed during symptom-limited bicycle ergometry. Discriminant analysis and heart-rate-adjusted ST-segment amplitude changes proved to have excellent diagnostic characteristics: sensitivity amounted 80%; specificity to 90%. Both methods seem well suited for diagnostic applications in clinical practice
Keywords :
computerised signal processing; electrocardiography; medical diagnostic computing; ECG; ST-segment depression; coronary artery disease diagnosis; discriminant analysis; exercise algorithms; males; myocardial infarction; symptom-limited bicycle ergometry; Area measurement; Bicycles; Cardiology; Coronary arteriosclerosis; Electrocardiography; Heart rate; Myocardium; Pain; Performance evaluation; Testing;
Conference_Titel :
Computers in Cardiology, 1988. Proceedings.
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-1949-X
DOI :
10.1109/CIC.1988.72606