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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics
Andjar Pudji
Department of Medical Electronics Engineering Technology
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate Laily Nurrohmah; Dwi Herry Andayani; Andjar Pudji
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.6

Abstract

Baby incubators are used for premature babies when babies are born prematurely. In order to ensure the accuracy of medical devices, periodic tests and controls are needed, which aim to reduce the risk of measurement. The baby incubator can be tested with a calibration device that is used to calibrate temperature, noise, humidity, and airflow so that the conditions remain stable and within normal limits. The purpose of this study is to develop a calibrator device based on a computer to measure noise and airflow parameters. The standard incubator analyzer is not equipped with a computer interfacing. Furthermore, it needs data processing via Excel. Therefore, in this study, an incubator analyzer device is proposed, which has four parameters to measure, namely, temperature, noise, humidity, and airflow. The main part of this design is the Atmega328 Microcontroller, in which the function is used as a data processor, equipped with Bluetooth communication and data storage. Furthermore, the output will be displayed in a computer unit. In this study, the noise was measured using analog sound Sensor V2; and have the most significant error at 37oC setting temperature that is equal to 0.17%. At the same time, the airflow parameter measured using an airflow sensor, type D6F-V3A01. Based on the measurement, the error was 0.5% at a temperature setting of 36oC and 37oC. The use of displays on personal computers and data processing using Excel allows users to monitor calibration and data processing. The feasibility of this device is proven. Therefore, this design can be used for baby incubator calibration.
Design a Vital Sign Monitor for Body Temperature (Axilla) and Oxymetry Parameters Mohamad Adam Firdaus; Andjar Pudji; Muhammad Ridha Mak'ruf
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.4

Abstract

In most hospitals, nurses routinely calculate and document primary vital signs for all patients 2-3 times per day to get information. Vital sign monitor is made for medical devices that can diagnose patients who need intensive care to determine patient needs. Some parameters were used oxygen saturation (SPO2), and body temperature. Therefore, the purpose of this study is to develop a vital sign monitor to record body temperature and oxygen saturation. This makes additional tasks are very important to be evaluated for medical staff and equipment manufacturers. This evaluation is needed to get the real condition of the patient. With the large number of patients who need evaluation, it is not possible to see the condition of some medical workers who work. This medical service is expected to reduce the workload of nurses with doctors and improve the quality of patient care. The great demand for these devices, mostly in intensive hospital rooms, is the basis for researching the output of data from multiple vital sensor monitor monitors to obtain accurate and precise outputs. The output of the two sensors is processed by Arduino Mega2560 and requested on a 5 inch TFT LCD in the form of body temperature and oxygen saturation. Comparison of module results with standard measuring instruments calibrated to reference this module is used for accurate and precise results. According to the assessment and reversing tool data with the dressing tool, the highest error value is 1%. With a maximum permitted permission of 5%.
Co-Authors Dwi Herry Andayani Laily Nurrohmah Mohamad Adam Firdaus Muhammad Ridha Mak'ruf