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PENGEMBANGAN TELEMONITORING PADA PULSE OXIMETER MENGGUNAKAN SPO2 NELLCOR BERBASIS INTERNET OF THINGS Kuspranoto, Abdul Haris; Nuha ABA, Muhammad Ulin
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 4 No 2 (2023): MEDIKA TRADA (JTEMP) Vol 4 No 2 (2023)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v4i2.36

Abstract

Telemonitoring is a method of long-distance health services using information technology to provide data to health services. Telemonitoring can save time, costs and effectiveness of health services. The biggest challenge in using Telemonitoring is that the adoption rate is still low and there has not been much development in medical equipment. Pulse Oximeter Using Nellcor SpO2 Based on the Internet of Things, functions to measure oxygen saturation (SpO2) and measure heart rate remotely. Then the results can be monitored via an Android smartphone application by utilizing an internet connection. To make this happen, hardware and software planning was made. This module uses a Nellcor SpO2 sensor which will regulate SpO2 and Heart Rate values ​​in the range of 60-100%. This microcontroller module uses ESP32 which will act as the brain of the device controller and connect the device to an Android smartphone. The measurement results of this tool are tampilaned on a 3.5 inch Nextion LCD and the Inventor application on an Android smartphone. The difference between oxygen saturation and heart rate readings on the Prosim 8 device has the largest error percentage of 5.4% for heart rate and the smallest at 0% for SpO2. This application can record SPO2 data and falling heart rate on patients periodically, so that their condition and condition can be monitored. for diagnostic data on patients remotely.
RANCANG BANGUN ALAT PENGUKUR KONSENTRASI OKSIGEN (O2) BERBASIS IoT MIKROKONTROLLER ESP32 PADA VENTILATOR PURITAN BENNETT 840 Satria, Medikatrada; Haris Kuspranoto, Abdul Haris; Ulin Nuha ABA, Muhammad
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 5 No 2 (2024): MEDIKA TRADA (JTEMP) Vol 5 No 2 (2024)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v5i2.86

Abstract

IoT systems allow users to monitor and control devices remotely using a smartphone or other device connected to the internet. IoT systems can help improve efficiency, effectiveness, and security in a variety of applications. One of the uses of IoT systems in the field of Health is to combine IoT devices with medical sensors. This research integrates Internet of Things (IoT) technology with oom202 sensor to detect and regulate oxygen (O2) concentration in Puritan Bennett 840 ventilator, especially for baby head box in Perinatology room. The Sensor reads O2 levels, sends data to the ESP32 microcontroller, and displays the results in real-time on the LCD as well as the Android device. The system provides notification if O2 levels are beyond safe limits, with an average tool accuracy of less than 1% and a measurement error of only 0.18%, ensuring effective and precise O2 monitoring.
PENERAPAN DIGITAL MOVING AVERAGE FILTER PADA SKIN SENSOR INFANT WARMER UNTUK MENGUKUR SUHU Kuspranoto, Abdul Haris; Ulin Nuha ABA, Muhammad
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 5 No 2 (2024): MEDIKA TRADA (JTEMP) Vol 5 No 2 (2024)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v5i2.93

Abstract

Accurate and stable measurement of a baby's body temperature is a critical element in neonatal care, especially for premature babies or babies with medical conditions that require intensive attention. Currently, skin sensors integrated with infant warmers are a common solution for continuously monitoring baby's body temperature. However, temperature fluctuations and environmental noise can interfere with measurement accuracy. This research aims to increase the accuracy of temperature measurements using the Digital Moving Average Filter (DMAF) on the skin sensor in the infant warmer. DMAF is applied to reduce noise and fluctuations, thereby producing more stable and accurate temperature data. This method was tested using a dataset of temperature measurements from newborn babies. The results show a significant improvement in temperature measurement accuracy of up to 97.94%, with a substantial reduction in fluctuations and noise. In addition, temperature fluctuations do not exceed 1 degree Celsius after using the DMAF method. Thus, the application of DMAF to skin sensor infant warmers provides clear benefits in improving the quality of neonatal care by providing more precise and responsive temperature control, as well as reducing the risk of dangerous medical conditions due to temperature instability. These findings provide a strong foundation for further development in sensor technology and temperature regulation in infant warmers, with great potential to improve the safety and well-being of newborns.