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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik ITS IPTEK Journal of Proceedings Series Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Prosiding Semnastek International Journal of Advances in Intelligent Informatics EMITTER International Journal of Engineering Technology Journal of Science and Applicative Technology Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan Jurnal Elektronika dan Telekomunikasi APPROACH: Jurnal Teknologi Penerbangan JAVA Journal of Electrical and Electronics Engineering Jurnal Ilmu Komputer dan Desain Komunikasi Visual EPI International Journal of Engineering JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati Jurnal Rekayasa elektrika Buletin Pos dan Telekomunikasi
Setijadi, Eko
Departemen Teknik Elektro Institut Teknologi Sepuluh Nopember
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Journal : International Journal of Advances in Intelligent Informatics

 1 
Detection of multi-class arrhythmia using heuristic and deep neural network on edge device Arief Kurniawan; Eko Mulyanto Yuniarno; Eko Setijadi; Mochamad Yusuf Alsagaff; Gijsbertus Jacob Verkerke; I Ketut Eddy Purnama
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.1061

Abstract

Heart disease is a heart condition that sometimes causes a person to die suddenly. One indication is a rhythm disorder known as arrhythmia. Multi-class Arrhythmia Detection has followed: QRS complex detection procedure and arrhythmia classification based on the QRS complex morphology. We proposed an edge device that detects QRS complexes based on variance analysis (QVAT) and the arrhythmia classification based on the QRS complex spectrogram. The classifier uses two-dimensional convolutional neural network (2D CNN) deep learning. We use a single board computer and neural network compute stick to implement the edge device. The outcomes are a prototype device cardiologists use as a supporting tool for analysing ECG signals, and patients can also use it for self-tests to figure out their heart health. To evaluate the performance of our edge device, we tested using the MIT-BIH database because other methods also use the data. The QVAT sensitivity and predictive positive are 99.81% and 99.90%, respectively. Our classifier's accuracy, sensitivity, predictive positive, specificity, and F1-score are 99.82%, 99.55%, 99.55%, 99.89%, and 99.55%, respectively. The experiment result of arrhythmia classification shows that our method outperforms the others. Still, for r-peak detection, the QVAT implemented in an edge device is comparable to the other methods. In future work, we can improve the performance of r-peak detection using the double-check algorithm in QVAT and cross-check the QRS complex detection by adding 1 class to the classifier, namely the non-QRS class.
Co-Authors Aang Kisnu Darmawan Aang Kisnu Darmawan Abd. Rahman Sholeh Achmad Affandi Achmad Affandi Achmad Mauludiyanto Agriniwaty Paulus Ahmad Khatami Ahmad Maulidiyanto Akbar Hendra Alamsyah Alamsyah - Alamsyah Alamsyah Alan Sujadi Andi Yahya Lubis Arif Hidayat Arifin, Imam Atika Aprilya Boedinoegroho, Hany Daniar Fahmi, Daniar Destina Surya Lestari Devy Kuswidiastuti Dewanda Bima Harikusuma Dewiani Jamaluddin Dika Oktavian Prasetya Dimas Anton Asfani Djoko Suprajitno Rahardjo Dwi Edi Setyawan Eko Mulyanto Yuniarno Elyas Palantei Endang Widjiati Endroyono Endroyono Endroyono, E Evi Rahmawati Evy Nur Amalina Evy Nur Amalina Fahmi, Arif Fannush Shofi Akbar Farida, Fitri Faridatun Nadziroh Fariza, Nadilla Firmansyah, Mohammad Rifqi Fitri Amillia Gamantyo Hendrantoro Gamantyo Hendrantoro gamantyo Hendrantoro Gatot Kusrahardjo Gatot Kusrahardjo Gijsbertus Jacob Verkerke Goran, Petrus Kerowe Hajra Rasmita Ngemba Harno Pratomo Heri Suryoatmojo Herti Miawarni Herti Miawarni Herti Miawarni Herti Miawarni Herti Miawarni Herti Miawarni Herti Miawarni, Herti Hoiriyah Hoiriyah, . I Gusti Ngurah Satriyadi Hernanda I Ketut Eddy Purnama I Made Yulistya Negara Ilmalik Muhammad Alviendra Indra Dilianto Intan Sari Areni Irwan Candra Dwinata Ismie Utami Farma Iwan Santosa Iwan Santosa Jessica Rahmawati Nugroho Kuncoro, Dony Yudy Kurnia Ageng Pratama Kurniawan, Arief Lena Miranti Siahaan M Mahaputra Hidayat Mainsuri Mainsuri Mauridhi Hery Purnomo Merna Baharuddin Mery Subito Mochamad Yusuf Alsagaff Mohamad Hafid Mohammad Ikhlayel Muhammad Hasan Mahmudy Muhammad Rendy Anggara Muhammad Rivai Muhammad Sabirin Hadis Muhammad Yahya Batubara Mulyadi Mulyadi Novalia Pertiwi Nugraha, Yurid Eka Nurfitri Kaharuddin Pasang Arung Padang Permatasari, Prima Dian Prasetiyono H Mukti Prasetiyono Hari Mukti Priska Wina Puji Handayani Rahayu, Sri Respati Loy Amanda Reza Pradikta Rizal Nur Ibrahim Ronny Mardiyanto, Ronny Rufiyanto, Arief Sardjono Trihatmo Septiawan, Reza Sirajuddin Sirajuddin SRI RAHAYU Sri Rahayu Sunarno Sunarno Surya Sumpeno Suwadi Suwadi Suwito Suwito Titiek Suryani Tobi Wibialma Natha Tri Arief Sardjono Vickyarnoldo Wantura Vivin Violita Wardi Wardi Widyanto Dwiputra Pradipta Wijayanti . Wirawan Wirawan Wirawan Wirawan Wirawan Wirawan Wirawan Yahya Syukri Amrullah Yorisan Permana Baginda Yoyon K Suprapto