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Journal : Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics

Pressure Sensor Stability Analysis of Positive End Expiratory Pressure Parameters in Flow Analyzer Design Wakidi, Levana Forra; Irianto, Bambang Guruh; Kholiq, Abd.; Prasetyo, Eko Dedi; P, Chandrasekaran
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 1 (2023): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.164

Abstract

The Positive End Expiratory Pressure (PEEP) parameter is a parameter that must be considered in the process of determining the patient's condition, a safe threshold, and must be in accordance with the settings. However, the PEEP value on the ventilator often does not match the settings so that the measuring instrument capable of detecting PEEP on the ventilator is the Flow Analyzer. The purpose of this study was to design a Flow Analyzer using the MPX2010 sensor to analyze the stability of the PEEP parameters on the ventilator. The main contribution of this research is the design of a simple Flow Analyzer device with stable monitoring of PEEP parameters and the availability of many required setting options. This study used PEEP settings of 0, 5, 8, 11, 14, 17, 20, 23, 26, and 29 cmH2O. In this case, data were collected using a ventilator with VCV (Volume Control Ventilation) and PCV (Pressure Control Ventilation) modes. The tool used for reference from standard measurements was the Standard Flow Analyzer tool. The results of this study indicated that the measurement accuracy of PEEP parameters with the Flow Analyzer module at each PEEP setting had the smallest error of ±0% at 0 cmH2O setting so that it also had the smallest value of 0 by standard. deviation and uncertainty (UA) value 0 at each setting. Meanwhile, the Flow Analyzer measurement module had the largest error in the 5 cmH2O setting, which was ±13.2% with the largest correction value of 0.77. Based on the data obtained, the monitoring of the PEEP parameter was considered quite stable even though the value was still out of tolerance. Therefore, the monitoring of PEEP stability parameters can be implemented during the ventilator calibration process in order to analyze damage and reduce the time of damage to the ventilator.
A Fuzzy Logic-Based Temperature Control System for Baby Incubators Pramudia, Henrikus; Syaifudin, Syaifudin; Kholiq, Abd.; Lawal, Kamilu O.
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 4 (2023): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i4.190

Abstract

A The purpose of a baby incubator is to help preterm infants whose bodies cannot adapt to their new surroundings by providing them with artificial heat. The goal of this research was to develop a method of applying fuzzy control in conjunction with the DS18B20 sensor for analyzing the response points involved in the construction of a baby incubator. For this experiment, researchers employed conditions of 32 ˚C, 35 ˚C, and 36 ˚C. The Incu analyzer is utilized as the industry standard reference instrument. Fuzzy control on a microcontroller involves a few steps, including fuzzification, which involves inputting the value of the membership function, where this member is a collection of error and feedback values, in this case 0.5; this member is then processed further in fuzzification, which involves transforming raw crisp calculations into membership values via the function membership. A rule base is a set of rules developed to achieve a goal by specifying the appropriate control action in response to a particular input value using linguistic rules. Defuzzification performs calculations of changing fuzzy quantities presented in the form of variable values from the rule base with output values to set an output value that we need in the system. This fuzzy system produces an average rise point of 200 seconds and an overshoot value in the range of +0.50 C. Stability can be achieved within 8 to 10 minutes.
Modification of Infant Warmer with PID Temperature Controlled with Apgar Monitoring and Respiration Rate Mahendra, Reynaldi Krisna; Lamidi, Lamidi; Kholiq, Abd.
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 1 (2020): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i1.259

Abstract

Newborns, both healthy and premature babies, have a difficult problem, newborns withstood the environment with new ones that previously depended on the mother's uterus and also as a place for initial examination in nayi after just being discussed. The purpose of this study was to add a baby warmer with PID temperature control and add respiration parameters and APGAR. The contribution in this study is the PID control system which is used to control temperature and is also a sensor of respiration rates to determine respiration in infants. So that the values ​​of the temperature sensor and Respiration Rate sensor can be stable it is necessary to adjust the sensor's reading time. The LM35 sensor can activate temperature in the body, the Flex Sensor is used to read respiration values ​​in infants. Based on data collection of respiration rates taken from adults, an average value of 18.5 times per minute was obtained in the first attempt, and 21 times per minute in the second trial. Respiratory rate values ​​that have not been stable take data because there are still external factors, such as changes from respondents and others. The results of this research can be implemented on baby warmers to improve the application of updates to the baby.