Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)

Diagnosing heart disease has become a very important topic for researchers specializing in artificial intelligence, because intelligence is involved in most diseases, especially after the Corona pandemic, which forced the world to turn to intelligence. Therefore, the basic idea in this research was...

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Main Author: Qaswaa Khaled Abood
Format: Article
Language:English
Published: Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2024-06-01
Series:Journal of Applied Engineering and Technological Science
Subjects:
Online Access:https://yrpipku.com/journal/index.php/jaets/article/view/3746
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author Qaswaa Khaled Abood
author_facet Qaswaa Khaled Abood
author_sort Qaswaa Khaled Abood
collection DOAJ
description Diagnosing heart disease has become a very important topic for researchers specializing in artificial intelligence, because intelligence is involved in most diseases, especially after the Corona pandemic, which forced the world to turn to intelligence. Therefore, the basic idea in this research was to shed light on the diagnosis of heart diseases by relying on deep learning of a pre-trained model (Efficient b3) under the premise of using the electrical signals of the electrocardiogram and resample the signal in order to introduce it to the neural network with only trimming processing operations because it is an electrical signal whose parameters cannot be changed. The data set (China Physiological Signal Challenge -cspsc2018) was adopted, which is considered a challenge for researchers because it includes different age groups. Many diseases, and the results obtained by the system were 96% accurate.
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spelling doaj-art-1cd23f7988f747718a7d7d88dbc71b402025-01-03T12:32:23ZengYayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)Journal of Applied Engineering and Technological Science2715-60872715-60792024-06-015210.37385/jaets.v5i2.3746Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)Qaswaa Khaled Abood0Computer Science Department, College of Science, University of Baghdad Diagnosing heart disease has become a very important topic for researchers specializing in artificial intelligence, because intelligence is involved in most diseases, especially after the Corona pandemic, which forced the world to turn to intelligence. Therefore, the basic idea in this research was to shed light on the diagnosis of heart diseases by relying on deep learning of a pre-trained model (Efficient b3) under the premise of using the electrical signals of the electrocardiogram and resample the signal in order to introduce it to the neural network with only trimming processing operations because it is an electrical signal whose parameters cannot be changed. The data set (China Physiological Signal Challenge -cspsc2018) was adopted, which is considered a challenge for researchers because it includes different age groups. Many diseases, and the results obtained by the system were 96% accurate. https://yrpipku.com/journal/index.php/jaets/article/view/3746DiagnosingHeartCNNSignal
spellingShingle Qaswaa Khaled Abood
Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)
Journal of Applied Engineering and Technological Science
Diagnosing
Heart
CNN
Signal
title Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)
title_full Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)
title_fullStr Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)
title_full_unstemmed Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)
title_short Deep Learning and Its Role in Diagnosing Heart Diseases Based on Electrocardiography (ECG)
title_sort deep learning and its role in diagnosing heart diseases based on electrocardiography ecg
topic Diagnosing
Heart
CNN
Signal
url https://yrpipku.com/journal/index.php/jaets/article/view/3746
work_keys_str_mv AT qaswaakhaledabood deeplearninganditsroleindiagnosingheartdiseasesbasedonelectrocardiographyecg