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All Journal Jurnal TEKNOKES
I Dewa Gede Hari Wisana
Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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ECG Simulator Based on Microcontroller Equipped with Arrhythmia Signal M. Ridha Mak'ruf; Andjar Pudji; Bedjo Utomo; I Dewa Gede Hari Wisana; Torib Hamzah; Lamidi Lamidi; Denis Kurniar Wicaksono; Sedigheh Ashgari Baighout
Jurnal Teknokes Vol 15 No 2 (2022): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v15i2.244

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
Analysis of Transmitted and Received ECG Signal Based on Internet of Thing Using Web Browser and Server-Client HTML Protocol Dewi Rushalina; I Dewa Gede Hari Wisana; Priyambada Cahya Nugraha; Nazila Ragimova
Jurnal Teknokes Vol 15 No 4 (2022): December
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.469

Abstract

Cardiovascular disease is one of the leading causes of death worldwide. One of the reasons for the large number of deaths from heart disease is the lack of regular cardiac monitoring. Electrocardiograph (ECG) is a method of monitoring heart conditions. There are still many ECG examinations in hospitals that are carried out directly in certain places and the results can only be seen at that time. Meanwhile, when negligence or carelessness occurs, it can endanger the patient due to delays in handling. One of the efforts that can be made to improve service to heart patients is by having ECG monitoring based on IoT (Internet of things). The purpose of this study is to analyze the ECG signals sent and received by IoT media so that they are useful for the diagnostic process. The contribution of this research is to know the shape of the ECG signal that is sent and received through IoT media. The procedure to achieve this goal is with the AD8232 sensor whose output will be processed through the microcontroller and displayed on computer and smartphones via IoT. From this research, the results obtained that the average value of lost data at BPM 60 and BPM 120 is quite good, namely 21.26% and 24.44%.hile the average time delay value at BPM 60 and BPM 120 is also quite good, namely 0.023 s and 0.03 s. So, it can be concluded that the sending of IoT-based ECG signals affects the form of signals sent and received. The results of this study are expected to be developed in further research with development in the form of adding leads or adding BPM parameters.
Analysis of BPM and Temperature Data Retrieval in Smartband Design with Android Applications Using the Multiplexing Method Jarot Hadi Wibowo; Her Gumiwang Ariswati; I Dewa Gede Hari Wisana; Shubhrojit Misra
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.516

Abstract

Monitoring and recording of patient medical records is very necessary if there are symptoms of a disease that must be taken quickly so that the patient's condition does not worsen and find out how the pattern of a disease attacks the body's condition, this is so that the patient's history data can be checked by a doctor to make it easier and improve the accuracy of the doctor's diagnosis. In its application, the use of two sensors for smartband requires the use of a multiplexer method so that the data does not collide with each other because of the similarity of the two sensor systems. In this study, the Wemos D1 Mini microcontroller was used to process BPM and temperature data, as well as to process the time of using the multiplexer of the two sensors, then the BPM and temperature values ​​were displayed on the OLED screen. Based on the results of the research that has been done, it can be concluded that the smartband has an error (error value) which is still within the allowable tolerance limit of ±5%. This study has the advantage of a portable device design and is very suitable for daily use to monitor the patient's condition, so that patients are not disturbed by the presence of this smartband. This research has a development that is the use of a larger battery so that its use can last longer, then the use of a temperature sensor that has a medical grade standard.
Co-Authors Andjar Pudji Denis Kurniar Wicaksono Dewi Rushalina Her Gumiwang Ariswati Jarot Hadi Wibowo Lamidi, Lamidi M. Ridha Mak'ruf Nazila Ragimova Priyambada Cahya Nugraha Sedigheh Ashgari Baighout Shubhrojit Misra Torib Hamzah Utomo, Bedjo