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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Frontiers in Community Service and Empowerment
Torib Hamzah
Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya
Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Nursing Other

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Sensor Accuracy Analysis on Incubator Analyzer to Measure Noise and Airflow Parameters Arrum Sekarwati; Syaifudin Syaifudin; Torib Hamzah; Shubhrojit Misra
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): 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.v4i3.227

Abstract

Infant incubators are equipment to maintain a stable body temperature for premature babies. Premature babies need room conditioning that is close to conditions in the womb. Room conditioning is carried out in a baby incubator by providing a stable temperature, relative humidity, and measured air flow. This parameter must be controlled so as not to exceed the threshold that will harm the baby. Periodic calibration should be applied to the infant incubator to monitor its function. To ensure the availability of baby incubators according to service standards, it is necessary to conduct test (calibrate) using an incubator analyzer. The purpose of this study is to conduct further research on the incubator analyzer that focuses on discussing the accuracy of noise and airflow sensors with the gold standard. In this study, an experiment was carried out for the sensitivity level of several sensors that had been treated by giving treatment to sensors to choose sensors with good sensitivity to be assembled into one in the incubator analyzer module. The noise sensors (KY-037 and Analog Sound Sensor V2.2) were further compared with the values ​​on the sound level meter and the airflow sensor (D6F-V03A1) was compared with the anemometer. Sensors whose values ​​are close to the comparison values ​​were selected to be integrated into the incubator analyzer module. The incubator analyzer module used Arduino Mega2560 as a data processor and was equipped with an SD Card for the data storage. The built incubator analyzer module was also compared to the Fluke INCU II gold standard for data analysis. The results showed that the Analog Sound Sensor V2.2 had the highest error value (-4.6%) at 32°C and the D6F-V03A1 had the ability to measure sensitivity, where the results were more accurate than INCU II. Based on the error value of the noise sensor, the V2.2 sensor can be applied to measure noise in the baby incubator and the D6F-V03A1 airflow sensor produced an accuracy of up to 3 digits behind the comma which is more accurate than the standard module. The results of the INCU analyzer from this study can be used to calibrate the baby incubator, so that the certainty of the feasibility of the baby incubator is guaranteed. This research can be used as a reference for other researchers who will develop research on incubator analyzers in the future.
Application of Bio-Electrical Instruments for Monitoring the Effect of Muscle Massage on Post-Stroke Patients Through Electromyography Signal Measurement Triwiyanto Triwiyanto; Torib Hamzah; Sari Luthfiyah; Bedjo Utomo; Urip Mudjiono
Frontiers in Community Service and Empowerment Vol. 1 No. 4 (2022): December
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ficse.v1i4.24

Abstract

The problems faced by partners are: in carrying out traditional massage massage practice activities, partners do not carry out the process of recording medical conditions before or after the massage process. Thus, this causes partners to be unable to remember the conditions before and after the provision of traditional massage therapy. In addition, when giving traditional massage to patients who have to return periodically, partners cannot know the impact after giving traditional massage. So, to know the result is to ask questions to the patient (e.g. "how is the result after the massage?"). Therefore, monitoring the massage process in post-stroke patients is qualitative and subjective. The implementation methods are: Measuring the physical and medical parameters of the patient such as weight, height and blood pressure, before and after the partner performs traditional massage to the patient, the bio-electrical muscle signal (EMG) is measured by attaching electrodes to the partially paralyzed limbs. Next, the patient contracted the muscle by pressing a rubber ball connected to an electronic pressure measuring module. Together with partners, they monitor the measured value of the muscle bio-electric signal (which is displayed on the computer panel), c) monitor the bio-electric signal in post-stroke patients who undergo traditional massage therapy in subsequent therapy activities (2-5 therapies). The output of PKM activities with the title "Implementation of Muscle Bio-electric Signal Measurement to Monitor the Healing Process of Post-Stroke Patients as an Effort to Support Traditional Massage Workers" is the device that can be used by the partners to monitor the effect of the massage to the patient. The targets and achievements expected in this PKM activity are that partners can monitor the effectiveness of traditional massage with the support of science and technology.
Co-Authors Arrum Sekarwati Sari Luthfiyah Shubhrojit Misra Syaifudin Urip Mudjiono Utomo, Bedjo