Pengembangan Sistem Perekam Sinyal ECG Jangka Panjang Untuk Remote Holter Monitoring

Gultom, Winnona Sarah Tio Roito (2021) Pengembangan Sistem Perekam Sinyal ECG Jangka Panjang Untuk Remote Holter Monitoring. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Persentase kejadian aritmia diperkirakan lebih dari 70% pada usia 65 tahun ke atas. Penyakit ini sulit dideteksi secara langsung dan dapat berakibat fatal. Untuk mendiagnosis aritmia, perlu dilakukan analisis sinyal ECG dengan Holter Monitor. Saat ini, dokter dan tenaga medis menganalisis sinyal ECG secara manual. Namun dengan perkembangan teknologi telekardiologi pada masa kini dapat mendukung pengembangan Holter Monitoring jarak jauh. Oleh sebab itu, dalam penelitian ini akan dikembangkan sistem rekam ECG dengan hasil rekaman yang sesuai kenyataan untuk mendukung kegiatan remote Holter Monitoring yaitu dengan membaca sinyal ECG menggunakan NodeMCU yang kemudian disimpan dalam database agar hasil rekaman dapat dianalisis dan dapat membantu mendeteksi aritmia sebagai peringatan dini. Sistem ini memiliki persentase error sebesar 2.42% serta memiliki akurasi deteksi puncak R sebesar 98,283%, presisi deteksi puncak R sebesar 98,52%, dan sensitivitas deteksi puncak R sebesar 99,754%
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The percentage incidence of arrhythmias is estimated to be more than 70% in those aged 65 years and over. This disease is difficult to detect directly and can be fatal if left unchecked. To diagnose arrhythmias, it is necessary to analyze the ECG signal with a Holter Monitor. Currently, doctors and medical personnel analyze ECG signals manually. However, with the development of current telecardiology technology, it can support the development of remote Holter Monitoring. Therefore, in this study, an ECG recording system with actual recording will be developed to support remote Holter Monitoring activities, namely by obtaining ECG data using the Node MCU stored in the database so that the recording results can be analyzed and can help detect arrhythmias early warning.This system has an error percentage of 2.42% and has an R peak detection accuracy of 98.283%, precision of 98.52%, and sensitivity of 99.754%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	aritmia, ECG, holter monitor, rekaman, arrhythmia, recording
Subjects:	T Technology > T Technology (General) > T58.5 Information technology. IT--Auditing
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Computer Engineering > 90243-(S1) Undergraduate Thesis
Depositing User:	Winnona Sarah Tio Roito Gultom
Date Deposited:	03 Sep 2021 07:46
Last Modified:	03 Sep 2021 07:46
URI:	http://repository.its.ac.id/id/eprint/91531

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