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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Bambang Guruh Irianto
Department Of Medical Electronics Engineering Technology, Poltekkes Kemenkes Surabaya
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Materials Science & Nanotechnology Nursing Other

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Design and Development of SpO2, Bpm, and Body Temperature for Monitoring Patient Conditions in IOT-Based Special Isolation Rooms Purwitosari, Dyah; Irianto, Bambang Guruh; Triwiyanto, Triwiyanto; Huynh, Phuoc-Hai
Jurnal Teknokes Vol. 16 No. 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The utilization of batteries as the primary power source in portable equipment systems presents certain drawbacks, primarily concerning the need for constant monitoring of battery power to ensure uninterrupted system functionality. Therefore, this study aims to address the battery power efficiency analysis to evaluate the viability of portable systems. The research endeavors to develop a portable measurement system capable of monitoring SPO2 (blood oxygen saturation), BPM (beats per minute), and body temperature in a specialized isolation treatment room. The proposed system is designed to assess the health conditions of patients afflicted with infectious diseases by measuring their heart rate, body temperature, and oxygen saturation. The devised measurement system incorporates a 2200mAH battery to power the IC TTGO ESP32, which manages data and displays measurement results. Additionally, the system integrates the MAX30102 sensor to measure oxygen saturation and heart rate, along with the MCP9808 sensor to monitor body temperature. To ensure its accuracy, the designed device underwent rigorous testing on respondents aged 25-40 years. The sensors were placed on the fingertip, and the resulting measurements were compared against those obtained from a standardized and calibrated device. The analysis of the measurement results exhibited a commendable ±5% error margin, indicating the feasibility of the proposed device for practical usage. Moreover, the study scrutinized the efficiency of battery power utilization in two distinct modes: normal mode and save mode. In the normal mode, the device consumed a current of 154.9 mA, while the save mode, which involved deactivating the LCD TTGO ESP32, required a current of 126.7 mA. The findings demonstrated that the device could operate for approximately ±14 hours in normal mode and up to ±17 hours in save mode before the battery needed recharging. The proposed design presents an effective approach for evaluating power efficiency in various device modes. Additionally, it empowers users by providing insights into the regular battery charging times, thus enabling them to determine the duration for which the device can be utilized to monitor patients. This knowledge proves invaluable for healthcare practitioners, as they can ensure uninterrupted monitoring while managing battery charging schedules effectively. Overall, this portable measurement system offers a promising solution for enhancing patient care and disease management in isolation treatment rooms.
Non-Contact Respiration Monitoring Using Bio-Radar Sensor Based on Linear Regression Classifier Fahrudin Y., Muhamad; Syaifudin, Syaifudin; Irianto, Bambang Guruh; Huynh, and Phuoc-Hai
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Tuberculosis (TB) is an infectious disease that mainly attacks the lungs, caused by the bacterium Mycobacterium tuberculosis. To reduce its spread, hospitals use special rooms for TB patients and health workers follow strict Standard Operating Procedures (SOP). Recent advances in medical technology have led to the development of contactless respiratory monitoring techniques, such as bio-radar sensors that utilize the Doppler principle to detect lung movement. This research aims to explore the application of bio-radar sensors for contactless respiratory rate monitoring and then combine it with machine learning methods, specifically using linear regression algorithms, to translate bio-radar output into measurable respiratory rate values. By training a regression model using a processed raw data set to identify inspiration and expiration, where 1 is inspiration and 0 is expiration. To test the performance of the contactless breathing module, it was compared to a patient monitor. The module and comparison tool were run simultaneously with 10 measurement distance points for 10 patients or respondents with each distance point taken three times. The data that has been obtained from the results of comparisons between modules and comparison tools is entered into machine learning data analysis techniques, namely accuracy, precision and recall. The accuracy results were 74.9%, precision 71.4% and recall 83.3%. This research has proven that bio radar can be used to detect lung movement.
Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View Puspitasari, Dila Anggraeni; Irianto, Bambang Guruh; Lamidi, Lamidi; Triwiyanto, Triwiyanto
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 1 (2024): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/dk550458

Abstract

Kids born before 37 weeks of pregnancy or weighing less than 2500 grams are considered premature, whereas kids born between 38 and 40 weeks of pregnancy and between 2500 to 4000 grams are considered full-term. Given that their organ systems are still developing within the womb, premature infants find it difficult to adjust to life outside the womb. As a result, special consideration must be made. They include modifying the environment's temperature, humidity, and oxygen needs to reflect those of the mother's womb. These conditions might be replaced with a baby incubator. This tool's creation is intended to make it easier for midwives and other healthcare professionals to keep an eye on many baby incubators. The Internet of Things (IoT) system is used by this instrument to transfer data. Using three ESP32 modules that have been put together to create modules that can collect data and have that data analyzed by a server (central monitoring) Raspberry Pi Zero W. Data will be sent via Internet of Things (IoT) technology, and the website will display the data. Two tests were conducted at 32 degrees Celsius, one at 34 degrees Celsius, and one at 36 degrees Celsius for a total of five tests. This technique was developed using a form of pre-experimental, after-only study. In this configuration, researchers may only see the module reading results; incubator analyzer data are not shown. Error value 3 in monitoring at 32 degrees Celsius has a maximum error of -0.04 percent. The largest error value occurs when the temperature is set to 34 degrees Celsius, when the monitoring error value is -0.016%. Monitoring inaccuracy is at its highest, 0.01%, when the temperature is 36 degrees Celsius. The monitoring 3 error value is most at 32 degrees Celsius (-0.025 percent), followed by 34 degrees Celsius (0.031 percent), and finally 36 degrees Celsius (0.049 percent), as shown by data on noise measurements. The findings demonstrate that each measurement performed by the module still contains mistakes. Medical staff should find it easier to concurrently monitor many infant incubators thanks to this discovery.
Improving Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters Maghfiroh, Anita Miftahul; Soetjiatie, Liliek; Irianto, Bambang Guruh; Triwiyanto , Triwiyanto; Hidayanti, Nuril; Rizal, Achmad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 2 (2022): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.144

Abstract

Heart rate is an important indicator in the health sector that can be used as an effective and rapid evaluation to determine the health status of the body. Motion or noise artifacts, power line interference, low amplitude PPG, and signal noise are all issues that might arise when measuring heart rate. This study aims to develop a digital filter that reduces noise artifacts on the finger sensor to improve heart rate measurement accuracy. Adaptive LMS and Butterworth are the two types of digital filters used in this research. In this study, data were collected from the patient while he or she was calm and moving around. In this research, the Nellcor finger sensor was employed to assess the blood flow in the fingers. The heart rate sensor will detect any changes in heart rate, and the measurement results will be presented on a personal computer (PC) as signals and heart rate values. The results of this investigation showed that utilizing an adaptive LMS filter and a Butterworth low pass filter with a cut-off frequency of 6Hz, order 4, and a sampling frequency of 1000Hz, with the Butterworth filter producing the least error value of 7.57 and adaptive LMS maximum error value of 27.65 as predicted by the researcher to eliminate noise artifacts. This research could be applied to other healthcare equipment systems that are being monitored to increase patient measurement accuracy.
A Low Cost Electrosurgery Unit (ESU) Design with Monopolar and Bipolar Methods Irianto, Bambang Guruh; Wakidi, Levana Forra; Endarta, Ade Ryan; Adam, Madeha Ishag; Aamir, Hafsa
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 2 (2022): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.147

Abstract

Surgery using a conventional scalpel causes the patient to lose a lot of blood; this needs to be avoided. The purpose of this research is to make a replacement for the conventional scalpel using a device that utilizes high frequency with a duty cycle setting that is centered at one point. The design of the device is equipped with monopolar and bipolar pulse selection with an increased frequency at 400 kHz, where the duty cycle of bipolar mode can be set to 100% on and the coagulation duty cycle is 6% on and 94% off. The power output of the module was tested using an ESU Analyzer, while cutting the bipolar forceps used soap and meat media. The power inverter circuit was set with the module impedance values ​​of 300Ω, 400Ω, and 500Ω. Power settings were set at high, medium, and low with 2 pulse cutting and coagulation modes. The average power resulted in the lowest power of 32.3Watt and the highest power cutting mode of 58.3Watt. Meanwhile, in the coagulation mode of the lowest power of 3Watt and the highest power of 3Watt, the impedance setting is 500Ω. The module can output power linearly according to settings and can cut media well. Furthermore, the development of making Electrosurgery design in this study is expected to facilitate the surgical process during the surgical procedures.
Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram Monitoring Signals Fauzi, Muhammad; Yulianto, Endro; Irianto, Bambang Guruh; Luthfiyah, Sari; Triwiyanto, Triwiyanto; Shankhwar, Vishwajeet; Elbaghazaoui, Bahaa Eddine
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.149

Abstract

Physical activity is an activity of body movement by utilizing skeletal muscles that are carried out daily. One form of physical activity is exercise which aims to improve health and fitness. Parameters related to health and wellness are heart and muscle activity. Strong and prolonged muscle contractions result in muscle fatigue. The authors used electromyographic (EMG) signals to measure muscle fatigue by monitoring changes in electrical muscle activity. This study aims to analyze the effect of muscle fatigue on cardiac signals during subjects perform physical activity. This research method uses Fast Fourier Transform (FFT) with one group pre-test-post-test research design. The independent variable is the EMG signal when doing plank activities, while the dependent variable is the result of monitoring the EMG signal. The authors use MPF, MDF, and MNF to get more detailed measurement results and perform a T-test. The test results showed a significant value (p-value <0.05) in the pre-test and post-test. The Pearson correlation test got a value of 0.628, indicating a strong relationship between exercise frequency and plank duration. When the respondent experiences muscle fatigue, the heart signal is affected by noise movement artifacts that appear when doing the plank. It is concluded that the device in this study can be used properly. To overcome noise in the EMG signal, it is recommended to use dry electrodes and high-quality components. To improve the ability to transmit data, it is recommended to use a Raspberry microcontroller.
Analysis of the Accuracy of Thermocouple Sensors at the Incubator Calibrator Laboratory Equipped with Internet of Thing-Based Data Storage Prastyadi, Candra; Irianto, Bambang Guruh; Ariswati, Her Gumiwang; Titisari, Dyah; Nyatte, Steyve; Misra, Shubhrojit
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 4 (2022): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i4.158

Abstract

Laboratory incubator is a tool used to incubate a breed. This incubator provides optimum temperature conditions for microorganisms to grow. It has a temperature regulator so that the temperature can be adjusted according to the breed incarnated. In this case, incubator worked like the hot-dry system of ovens. The purpose of this study was to conduct testing and analysis on the accuracy of thermocouple sensors using incubator media in laboratory incubator calibrator tools. The contribution of the research was to know the level of accuracy of the right sensor for sensing the temperature in the laboratory incubator. The main designed tool consisted of 8 MAX6675 standards, 8 K thermocouple, Arduino-Mega, and SD Card Standards. The temperature of the incubator device, in this case, was measured by the K thermocouple sensor. The sensor system had 8 channels that serve to measure the temperature at each incubator point. The temperature data were further stored in the SD card to analyze the data and the data can be processed into the form of a graphic. Benchmarking was done using a data logger temperature tool. This was done to make the designed tool results under the standards tool. After comparing between the tool designed and the standard tool obtained the largest error value of 3.98% in channel T6 at the temperature of 35°C with ordinary incubator media, while the smallest error in ordinary incubator media was at the point T6 at temperature of 37°C by 0.06%. Meanwhile, in the fan incubator, at the temperature of 35oC, had the largest error of 2.98%, while the smallest error was 0.86%. The conclusion of this study is that the tool designed could work well in measuring the temperature of the incubator, as well as the system for storing the data reading using the SD card.
Design of Carbon Dioxide Levels Measurement in Human Expiration Using End Tidal Carbon Dioxide (EtCO2) Capnography Method Fuadi, Rifky Maulana; Yulianto, Endro; Irianto, Bambang Guruh; Mishra , Abhishek
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.v5i1.160

Abstract

Asthma is a chronic respiratory disease that has become the main reason patients are always rushed to the hospital emergency department. Capnography is a new method for examining asthma by measuring CO2 levels released by the lungs. The aim of this research was to create an EtCO2 capnography device that is able to measure CO2 levels in patients with asthma or difficult breathing to assist doctors in determining the urgency of using a ventilator in a patient. The EtCO2 Capnography device used in the hospital uses a sensor that is expensive, but in this study, a CO2 gas sensor type Cozir-WX-20 was used at a low price. The research was conducted by utilizing a CO2 gas sensor type Cozir-WX-20 which read CO2 concentration in ppm value and a microcontroller as an analog to digital data processor to be displayed on the LCD. Sensor characterization was carried out to compare the side-stream and main-stream methods, response time readings, and the accuracy of the cozir sensor. The resulting data were taken from CO2 cylinders and medical air gas at various flow volume values and was connected to the Cozir sensor, EtCO2 main-stream patient monitors, and side-stream EtCO2 patient monitors. The resulting CO2 readings from CO2 tubes and medical water on the Cozir-WX-20 sensor and main-stream patient monitors obtained an error of 4.6%, namely at a CO2 concentration of 7% or 70,000 ppm and sensor accuracy is above 95%. As for the side-stream method, the reading error is 1.96% and 1.74% at a CO2 concentration of 6-7%. Sensor accuracy on the side-stream method cozir module is above 95%. Response time reading CO2 gas at a concentration of 1%-7% under 5 seconds.
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.
Monitoring Baby Incubator Central Based Raspberry Pi Zero W with Temperature and Skin Temperature Parameter Based on IoT Ningsih, Fransiska Ima Setia; Irianto, Bambang Guruh; Lamidi , Lamidi; Abdulhamid, Mohanad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 5 No. 3 (2023): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i3.183

Abstract

This research is dedicated to enhancing the quality of care provided to vulnerable infants by proactively addressing potential challenges. The goal is to recreate the optimal environmental conditions resembling the mother's womb—ensuring precise maintenance of temperature, humidity, and oxygen levels—through the utilization of infant incubators. The primary objective of this study revolves around the development of an autonomous monitoring tool tailored for midwives and healthcare personnel responsible for overseeing multiple infant incubators. Driven by the synergy of an ESP32 module and Raspberry Pi Zero W, this innovative tool seamlessly transfers crucial data through the vast network of the Internet of Things (IoT). The acquired results are meticulously compared against data obtained from an incubator analyzer, employing a meticulously designed pre- and post-experimental framework. Examination of the chamber temperature measurement data brings to light a maximum error threshold of 0.009%, corresponding to an error value of 3. Notwithstanding certain persisting measurement discrepancies within the developed module, the study's profound utility is projected to significantly aid medical professionals in their concurrent monitoring of multiple infant incubators, thereby mitigating the impact of these limitations and advancing the realm of neonatal care.
Co-Authors ., Sumber Aamir, Hafsa Abdul Kholik Abdul Rahman Abdulhamid, Mohanad Abhishek Mishra Achmad Rizal Achmad Rizal Adam, Madeha Ishag Ade Ryan Endarta Ahmad Fanani Ahmad Fanani Andayani, Dwi Herry Andjar Pudji Anggraini, Navira Anita Miftahul Maghfiroh Ariswati, Her Gumiwang Bahaa Eddine ELBAGHAZAOUI Budhiaji Budhiaji Candra Prastyadi Dwi Herry Andayani Dwi Herry Andayani Dyah Purwitosari Dyah Titisari Dyah Titisari Dyah Titisari, Dyah Elbaghazaoui, Bahaa Eddine Elmira Rofida Al Haq Endarta, Ade Ryan Endro Yulianto Fadilla Putri Devito Nur Azizah Fahmi Ardhi Fahrudin Y., Muhamad Fathul Huda Fransiska Ima Setia Ningsih Fuadi, Rifky Maulana Gumiwang, Her Hafsa Aamir Hamzah, Thorib Hanna Firdaus Her Gumiwang Ariswati Her Gumiwang Ariswati Herry Andayani Hidayanti, Nuril Huynh, and Phuoc-Hai Huynh, Phuoc-Hai I Dewa Gede Hari Wisana I KOMANG YOGI MAHARDIKA Indrato, Tri Bowo Jing Lu Kholiq, Abd KHOLIQ, ABD. Kumbhare, Ashish Lamidi , Lamidi Lamidi Lamidi Lamidi, Lamidi Levana Forra Wakidi Liliek Soetjiatie Luthfiyah, Sari Luthfiyah, Sari Madeha Ishag Adam Maghfiroh, Anita Mifthahul Mahardika, Melva Mansour Asghari Mifthahul Maghfiroh, Anita Mishra , Abhishek Misra, Shubhrojit Mohamad Ridha Mak&#039;ruf Mohanad Abdulhamid Mufarid, Muhammad Nezar Abdullah Muhammad Amir Maruf Muhammad Fauzi Muhammad Fauzi Muhammad Fuad Nurillah Muhammad Iqbal Muhammad Jundi Al'Aziz Muhammad Nezar Abdullah Mufarid Mukhamad Ryan Nur Rokhman Ningsih, Fransiska Ima Setia Nora Bouzeghaia Nuril Hidayanti Nyatte, Steyve P, Chandrasekaran Pawana, I Putu Alit Phuoc-Hai Huynh Prasetyo, Eko Dedi Prastawa Asalim Tetra Putra Prastyadi, Candra Pudji, Andjar Purwitosari, Dyah Puspitasari, Dila Anggraeni Rathod, Yagnik Rifky Maulana Fuadi Rizki Andriyanto Sari Luthfiyah Shankhwar, Vishwajeet Shubhrojit Misra Shubhrojit Misra Steyve Nyatte Syaifudin Syaifudin, Syaifudin Tetra Putra, Moch Prastawa Assalim Torib Hamzah Triwiyanto , Triwiyanto Triwiyanto Triwiyanto Ulumiddiniyah, Bariroh Izzatul Vishwajeet Shankhwar Wakidi, Levana Forra Wibowo, Agus Susilo