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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Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2024-06-01
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Series: | Journal of Applied Engineering and Technological Science |
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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 |
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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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format | Article |
id | doaj-art-1cd23f7988f747718a7d7d88dbc71b40 |
institution | Kabale University |
issn | 2715-6087 2715-6079 |
language | English |
publishDate | 2024-06-01 |
publisher | Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) |
record_format | Article |
series | Journal of Applied Engineering and Technological Science |
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 |