A CARDIOLOGY APPLICATION USING AN ARTIFICIAL NEURAL NETWORK MODEL

Shokr, M.; Shaarawy, M.; Abo Elsoud, H.

doi:10.21608/iceeng.1999.62515

A CARDIOLOGY APPLICATION USING AN ARTIFICIAL NEURAL NETWORK MODEL

Document Type : Original Article

Authors

¹ Dr., Dept. of Computer & Operation Research, Military Technical Collage.+

² Egyptian Armed Forces.

³ Ass. Prof. Dr., Dept. of Computer & Operation Research, Military Technical Collage.+

⁴ Eng., Egyptian Armed Forces.

10.21608/iceeng.1999.62515

Abstract

In this paper, a Neural Network Model is designed for the classification of normal and abnormal electrocardiography (ECG) signals. Linear Prediction Coding (LPC) is used for extracting the features of the signals generated from each patient. The features of the signals are applied as inputs to train and test the Neural Network. Different Neural Network architectures investigated in order to achieve a better performance. Test results show that, the classification accuracy of the network can reach 98 %.

Keywords