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All Journal Jurnal TEKNOKES Indonesian Journal of electronics, electromedical engineering, and medical informatics
Satheeshkumar Palanisamy
Anna University, India
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Smartband for Heartbeat and Oxygen Saturation Monitoring with Critical Warning to Paramedic via IoT I Dewa Gede Hari Wisana Wisana; Priyambada Cahya Nugraha; Farid Amrinsani; Fani Ferina Sani; Yusita Indhira Anwar; Satheeshkumar Palanisamy
Jurnal Teknokes Vol 15 No 3 (2022): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i3.317

Abstract

There are vital signs in the human body that indicate important physiological values for the body. In the COVID-19 pandemic, some of the important vital signs that must be monitored are BPM (Beats Per Minute) and SpO2 (oxygen saturation) as indicators of whether a person is in good health or lacks oxygen to predict the early symptoms of COVID-19. The purpose of this study is to create a device on the patient's wrist that can monitor BPM and SpO2 in real-time, as well as provide notifications on smartphones and emails when the patient's condition is abnormal. The contribution of this study is to implement an IoT (Internet of Things) system using a Wi-Fi connection so that monitoring activities are not separated by distance and time. The MAX86141 sensor is used in the design of this tool to detect the BPM and SpO2 values, after which the data is processed and displayed on the ESP32 TTGO T-Display. Monitoring results are also sent to the Blynk, and if the patient's condition is abnormal, an email notification is sent. According to the tool testing results, BPM has the smallest error of 0.94 percent and the largest error of 6.48 percent, whereas SpO2 has the smallest error of 0.20 percent and the largest error of 3.23 percent. The findings of this study can be used to improve the ease and efficiency of body health monitoring activities. This has the potential to significantly improve public health service quality, particularly during the COVID-19 pandemic
A Analysis of The Capture Result of Flat Panel Detector Design with Arduino-Based BPW34 Photodiode Sensor against mA and kV Settings Muhammad Rois Amin; Muhammad Fajar Wahyudi; Muhammad Ridha Makruf; Tri Bowo Indrato; Andjar Pudji; Satheeshkumar Palanisamy
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.242

Abstract

The exposure factor is the factor that determines the intensity and quality of X-rays received by the patient. Exposure factors that can be controlled are: tube voltage (kV), tube current (mA), irradiation time (second), and distance of the X-ray tube to the film (FFD). The purpose of this study was to capture X-rays at a relatively affordable manufacturing price and to obtain a difference in value from the detector's catch between dark and light by utilizing the response of the BPW34 photodiode sensor. The contribution of this study is that the system can display grayscale and numerical on an 8x8 pixel matrix using the Matrix Laboratory (MATLAB) Application. This study was able to convert images taken from analog data after taking measurements on X-rays. The measurements are carried out by 2 methods, there are range used was 32-63mA, with a tube voltage of 50 kV at an irradiation duration of 1 second and 50 - 70 kV, with a tube current of 40 mA and an irradiation duration of 1 second. From the measurement results, it shows that the Flat Panel Detector Design Tool after being compared with the Philips brand DR is able to respond to differences in dose and object thickness. The results of this study indicate that this tool can be used to capture X-rays so that the degree of blackness of the film can be known.
Co-Authors Andjar Pudji Fani Ferina Sani Farid Amrinsani I Dewa Gede Hari Wisana Wisana Indrato, Tri Bowo Muhammad Fajar Wahyudi Muhammad Ridha Makruf Muhammad Rois Amin Priyambada Cahya Nugraha Yusita Indhira Anwar