ECG Signal Classification Using MODWT and CNN for Early Detection of Cardiac Abnormalities
Accurate classification of ECG signals is crucial for the early detection of cardiac abnormalities. This study proposes a method that integrates Maximal Overlap Discrete Wavelet Transform (MODWT) for feature extraction with a Convolutional Neural Network (CNN) to enhance classification performance....
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Departement of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya
2025-04-01
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| シリーズ: | Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) |
| 主題: | |
| オンライン･アクセス: | https://jurnaleeccis.ub.ac.id/index.php/eeccis/article/view/1769 |
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