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

fYear

1988

fDate

25-28 Sep 1988

Firstpage

231

Lastpage

234

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 1988. Proceedings.

Conference_Location

Washington, DC

Print_ISBN

0-8186-1949-X

Type

conf

DOI

10.1109/CIC.1988.72606

Filename

72606