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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Muhammad Ridha Mak'ruf
Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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An Improved Design of Flat Panel Detector with Phototransistor PH101 Analysis of The Tube Voltage Setting Nina Havilda; Muhammad Ridha Mak'ruf; Tri Bowo Indrato; Sedigheh Asghari Baighout
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.v15i4.464

Abstract

The intensity and quality of the X-Rays a patient receives is determined by the exposure factor. Voltage (kV), Current (mA), Time (seconds), and tube-to-film distance (FFD) are exposure factors that can be controlled and determined. The key factor that can determine the quality of X-Rays is the tube voltage (kV) which affects the X-Rays to penetrate objects. The purpose of this research is to improve image quality and relatively affordable manufacturing costs by obtaining the difference in the detector catch value between dark and light by utilizing the response of the PH101 phototransistor sensor. The contribution of this research is that the system can display grayscale and numeric on a 16x16 pixel matrix using the Matrix Laboratory (MATLAB) application. This research can convert images taken from analog data after measuring the phototransistor PH101 on X-Rays. The measurement settings used are 50, 55, 60, and 70kV, with a tube current of 40 mA and an irradiation time of 1 second. The measurement results show that the Flat Panel Detector Design can respond to differences in doses and objects. This research shows that a Flat Panel Detector and a Phototransistor PH101 sensor have been successfully made which can be used to capture X-Rays so that the black level of the film can be determined.
Analysis of Stability and Accuracy of Gas Flow in High Flow Nasal Canule for COVID-19 Patients Muhammad Ridha Mak'ruf; Novella Lasdrei Anna Leediman; Andjar Pudji; Erwin L. Rimban
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v5i1.277

Abstract

In December 2019, the world was introduced to a new coronavirus, severe acute respiratory syndrome (COVID-19).The primary strategy for COVID-19 patients is supportive care, using high-flow nasal oxygen therapy (HFNC) reported to be effective in improving oxygenation. Stability is the ability of a medical device to maintain its performance [1]. Medical equipment must have the stability necessary to maintain critical performance conditions over a period of time. Accuracy is the closeness of agreement between the value of a measuring quantity, and the value of the actual quantity of the measuring quantity[2].The purpose of this study is to ensure that the readings of the HFNC device are accurate and stable so that it is safe and comfortable when used on patients. The development of the equipment that will be used by the author adds graphs to the TFT LCD to help monitor stable data in real time so that officers can monitor the flow and fraction of oxygen in the device to be stable. This study uses Arduino Nano while the sensor used is the GFS131 sensor, then the results are displayed on the Nextion TFT LCD. The test is carried out with comparing the setting value of the HFNC tool that appears on the TFT LCD with a gas flow analyzer with a measurement range of 20 LPM to 60 LPM 5 times at each point. Based on measurements on the gas flow analyzer, the HFNC module has an average error (error (%)) of6.40%. Average uncertainty (Ua) 0.05. Conclusion from these results that the calibrator module has a relative error (error value) that is still within the allowable tolerance limit, which is ±10%, the tool is precise because of the small uncertainty and good stability of the stability test carried out within a certain time.
Monitoring the Occurrence of Alarms in High Flow Nasal Cannula (HNFC) Using IoT-Based Thinger.io Platform for COVID-19 Isolation Room Sapty Taurisita Fauziah; Muhammad Ridha Mak'ruf; Andjar Pudji; Levana Forra Wakidi; Faraz Masood
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.v15i4.496

Abstract

Covid-19 has become a virus that has become a world pandemic and this virus has caused mass deaths because medical personnel have difficulty treating patients when oxygen levels in the blood have fallen to critical levels. HFNC (High Flow Nasal Cannula) is a method of administering additional oxygen to patients with acute respiratory failure. The use of HFNC in recent years has been highly recommended as a solution to provide supplemental oxygen to patients. Administration of HFNC to COVID-19 patients begins at a flow range of 30-60 LPM.Unfortunately, HFNC, which used to exist, can only be monitored manually, resulting in the transmission of HFNC-produced aerosols between patients and staff. So this study aims to analyze errors in HFNC that cause a decrease in flow to HFNC using a flow sensor as a sensor to detect leaks or other flow errors from the HFNC output hose and monitor if there is a blockage through IoT in the form of notifications.This research method uses the Pre-experimental with the After Only Design type. In this design, the researcher only used one group of subjects and only looked at the results without measuring and knowing the initial conditions, but there was already a comparison group. The independent variable in this study was the HFNC error condition. While the dependent variable in this study is the data flow read by the sensor, where IoT notifications and device status show error leaks. The sensors used in this research are MPX5700GP pressure sensors and SEN0343 Differential Pressure sensors as flow sensors. The benefit of this research is that in addition to reducing the burden on medical staff in handling Covid-19 patients, it can also minimize transmission between staff and patients caused by high aerosol production by this HFNC device, this is because HFNC device alarm monitoring can be monitored in the nurse's room via internet technology. In conclusion, to obtain maximum benefits from this research, it is necessary to select a sensor that truly has a high enough resistance to humidity produced by this HFNC humidifier's water vapor.
Co-Authors Andjar Pudji Erwin L. Rimban Faraz Masood Levana Forra Wakidi Nina Havilda Novella Lasdrei Anna Leediman Sapty Taurisita Fauziah Sedigheh Asghari Baighout Tri Bowo Indrato