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62515

A CARDIOLOGY APPLICATION USING AN ARTIFICIAL NEURAL NETWORK MODEL

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Last updated: 22 Jan 2023

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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 %.

DOI

10.21608/iceeng.1999.62515

Keywords

Artificial Neural Networks (ANN), Electrocardiograph (ECG), Back Propagation Network (BPN), Linear Prediction Coding (LPC)

Authors

First Name

M.

Last Name

Shokr

MiddleName

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Affiliation

Dr., Dept. of Computer & Operation Research, Military Technical Collage.+, Egyptian Armed Forces.

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First Name

M.

Last Name

Shaarawy

MiddleName

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Affiliation

Ass. Prof. Dr., Dept. of Computer & Operation Research, Military Technical Collage.+, Egyptian Armed Forces.

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Orcid

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First Name

H.

Last Name

Abo Elsoud

MiddleName

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Affiliation

Eng., Egyptian Armed Forces.

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Volume

2

Article Issue

2nd International Conference on Electrical Engineering ICEENG 1999

Related Issue

9420

Issue Date

1999-11-01

Receive Date

2019-11-28

Publish Date

1999-11-01

Page Start

312

Page End

326

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 2_Issue 2nd International Conference on Electrical Engineering ICEENG 1999_Pages 312-326.pdf

PDF . 3.7MB

Link

https://iceeng.journals.ekb.eg/article_62515.html

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https://iceeng.journals.ekb.eg/service?article_code=62515

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

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Article

Created At

22 Jan 2023