Jurnal Teknokes
Vol 15 No 2 (2022): June

ECG Simulator Based on Microcontroller Equipped with Arrhythmia Signal

M. Ridha Mak'ruf (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya)
Andjar Pudji (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya)
Bedjo Utomo (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)
I Dewa Gede Hari Wisana (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)
Torib Hamzah (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)
Lamidi Lamidi (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)
Denis Kurniar Wicaksono (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)
Sedigheh Ashgari Baighout (Mohaghegh Ardabili University, Ardabili, Iran)



Article Info

Publish Date
26 Jun 2022

Abstract

Electrocardiograph (ECG) is one of the diagnostic sciences that is often studied in modern medicine, used to detect damage to the components of the heart or disorders of the heart rhythm called arrhythmias. The purpose of this research is to develop an Electrocardiograph simulator that is equipped with arrhythmia. The main design consists of an Arduino Mega 2560 microcontroller, MCP4921 DAC (Digital to Analog Converter) circuit, a network resistor, and a sensitivity selection circuit. The MCP4921 type DAC converts the digital signal data into analog data which will then be forwarded to the resistor network circuit as a signal formation for each lead. The basic signal image data used for the formation of normal Electrocardiograph and arrhythmias were taken from the Electrocardiograph recorder using Phantom Electrocardiograph. Based on the readings on the Beat Per Minute setting of the module to the Beat Per Minute printout on the Electrocardiograph recorder, the error rate value for the Normal Sine Rhythm parameter is 0.790% for Beat Per Minute 30, 0.383% for Beat Per Minute 60, 0.535% for Beat Per Minute 120, 0.515% for Beat Per Minute 180 and 0.593% for Beat Per Minute 240. The error rate for the Arrhythmia parameter is 2.076% for ventricular tachycardia Beat Per Minute 160 and 0.494% for Supraventricular Tachycardia Beat Per Minute 200. The design of the Electrocardiograph simulator can simulate the signals of the human body and it can be used as a medium in the learning process in the world of health

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Journal Info

Abbrev

Teknokes

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

The JURNAL TEKNOKES is a peer-reviewed periodical scientific journal aimed at publishing research results of the medical engineering areas. The Journal is published by the Department of Medical Electronics Technology, Health Polytechnic of Surabaya, Ministry of Health Indonesia. The role of the ...