J Korean Soc Med Inform.  2007 Jun;13(2):147-152.

An Itelligent System for Diagnosis of Coronary Artery Disease with BP Neural Networks

• Bai Y
• Hou L
• Wu S
• Zhang D

Abstract

OBJECTIVE
In this paper, an intelligent system using BP neural networks (BPNN) is presented for early detection coronary artery disease (CAD).
METHODS
Based on the four features of ECG signals and six basic parameters of patients, BPNN was built and trained. Especially the method which combined feature extraction and classification was discussed.
RESULTS
The performance of the intelligent system has been evaluated in 20 samples. The test results showed that this system was effective in detecting CAD. The correct classification rate was about 90% for normal subjects and 100% for abnormal subjects.
CONCLUSION
BPNN could quite accurately detect abnormal subjects. Because it is not expensive and noninvasive, it is fit to examine health of the elderly and has good application foreground.

Keyword

BP Neural Networks (BPNN); Coronary Artery Disease (CAD); Noninvasive Intelligent Diagnosis

MeSH Terms

Aged
Classification
Coronary Artery Disease*
Coronary Vessels*
Diagnosis*
Electrocardiography
Humans