Adaptive logic network compared with backpropagation network in automated detection of ischemia from resting ECG

Author

Pol, Mark J. ; Zhou, Sophia H. ; Rautaharju, Pentti M. ; Armstrong, William W. ; Chaitman, B.R.

Author_Institution

Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada

fYear

1995

fDate

10-13 Sept. 1995

Firstpage

217

Lastpage

220

Abstract

The aim of this study was to introduce an adaptive logic network (ALN) computing method for detection of myocardial ischemia in standard 12-lead resting electrocardiogram (ECG) and to compare this method with the commonly used backpropagation network method and linear discriminant analysis techniques. Of 1,367 study subjects, 733 were women and 634 were men aged 65 and above. Ischemic episodes were identified by 24-hour ambulatory Holter ECG recordings. Accuracy was 67% using ALN, 56% using backpropagation and 65% using discriminant analysis. ALN offers a slightly higher accuracy and shows several advantages over the other two.

Keywords

adaptive signal detection; backpropagation; electrocardiography; medical signal processing; signal detection; 24-hour ambulatory Holter ECG recordings; adaptive logic network; automated detection; backpropagation network; ischemia; linear discriminant analysis; men; myocardial ischemia; resting ECG; standard 12-lead resting electrocardiogram; women; Adaptive systems; Backpropagation; Cardiology; Computer networks; Electrocardiography; Intelligent networks; Ischemic pain; Logic; Medical diagnostic imaging; Myocardium;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1995

Conference_Location

Vienna, Austria

Print_ISBN

0-7803-3053-6

Type

conf

DOI

10.1109/CIC.1995.482611

Filename

482611