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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences ComEngApp : Computer Engineering and Applications Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Al-Iqtishad : Jurnal Ilmu Ekonomi Syariah (Journal of Islamic Economics) JUSIFO : Jurnal Sistem Informasi Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Information Systems and Informatics SULUH: Jurnal Abdimas Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic Jurnal Abdimas Bina Bangsa Smart: Journal of Sharia, Tradition, and Modernity Archive: Jurnal Pengabdian Kepada Masyarakat Muslim Business and Economic Review Journal of Artificial Intelligence and Digital Business Amkop Management Accounting Review (AMAR) Jurnal Teknik Indonesia Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi
Bambang Tutuko
Sriwijaya University
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Journal : ComEngApp : Computer Engineering and Applications Journal

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Deep Learning for ECG-Based Arrhythmia Classification Based on Time-Domain Features Sari, Ririn Purnama; Darmawahyuni, Annisa; Tutuko, Bambang; Firdaus; Rachmatullah, Muhammad Naufal; Sapitri, Ade Iriani; Islami, Anggun; Arum, Akhiar Wista
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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Abstract

Arrhythmia is a disturbance in the electrical activity of the heart that can affect the rhythm and duration of the heartbeat. Early detection of arrhythmia is crucial to prevent more serious complications. Electrocardiogram (ECG) is an effective non-invasive diagnostic tool in detecting arrhythmia, but manual detection by experts takes time. To overcome this limitation, this research develops an arrhythmia classification system by utilizing deep learning. This study involves a series of stages, starting from pre-processing, feature extraction, and arrhythmia classification models using convolutional neural networks (CNN) and long short-term memory (LSTM). The results showed that feature extraction successfully improved model efficiency and accuracy. Evaluation of model performance using accuracy, recall, precision, specificity, and F1-score metrics showed that the LSTM model achieved 95% accuracy, 96% recall, 96% precision, 99% specificity, and 96% F1-score, outperforming the CNN model which achieved 91% accuracy, 90% recall, 89% precision, 98% specificity, and 89% F1-score. Thus, these results indicate that the LSTM model is superior in arrhythmia classification.
Co-Authors Abied, Wildan Ade Iriani Sapitri Aditya Aditya Aditya, Aditya Agus Triadi Agus Triadi Ahmad Dahlan Malik Ahmad Hudaifah, Ahmad Ahmad Rifai Ahmad Rifai Ahmad Zarkasi Ahmad Zarkasi Ananda, Dea Agustria Anik Kustirini, Anik Annisa Darmawahyuni Arum, Akhiar Wista Asyhad, M. Aulia Rahman Thoharsin Azkia, Mita Nurul Balqis, Galuh Aura Bayu Wijaya Putra Borisman Richardson Cahyono, Hadi Chatarina Umbul Wahyuni Cholilie, Irvan Adhin Darmawahyuni, Annisa Darmawahyuni, Annisa Dewi, Kemala Dimas Budianto Dwi, Galih Malik Fajri, Faisal Febrita, Suci Findayani, Vinka Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Firdaus Fitria Maya Lestari Ganesha Ogi Hanif Habibie Supriansyah Huda Ubaya Isdwanta, Rendy Islami, Anggun Istianah Istianah Ivall, Mochammad Jasmir Jasmir Kemala Dewi Khairunnisa, Cholidah Zuhroh Kustyadji, Gatot Maharani, Masayu Nadila Marcelino, Jordan Mudjiastuti Handajani Muhammad Afif Muhammad Fachrurrozi Muhammad Irham Rizki Fauzi Muhammad Naufal Rachmamtullah Muhammad Naufal Rachmatullah Nuswil Bernolian Pamela, Maylavalaza PATIYUS AGUSTIANSYAH, PATIYUS PP Aditya, PP, Aditya, PP Prasetya, Fandi Angga Pratama, Yogi Tiara Pratiwi, MM. Shinta Pudjihardjo, Hari Setijo Pudjihardjo, Hari Setijo Purwanto Purwanto Rachmamtullah, Muhammad Naufal Reza Firsandaya Malik Rizal Sanif Rizky, Anandhita Rohadi Rohadi Rossi Passarella Samsuryadi Samsuryadi Sapitri, Ade Iriani Saraswati, Ade Maya Sari, Ririn Purnama Sarifah Putri Raflesia Sarmayanta Sembiring Sastradinata, Irawan Setyati Budiningrum, Diah Siqhny, Zulhaq Dahri Siti Nurmaini Sri Budi Wahjuningsih, Sri Budi Sukemi Sukemi Sutarno Sutarno Sutarno Sutarno Sutarno Sutrimo Sutrimo Tatas Transinata Tjiptohadi Sawarjuwono Tresna Dewi Triadi, Agus Utari, Febiani Dwi Velia Yuliza W, Prayogo Pandhu Wardhana, Aditya Narendra Winda Kurnia Sari