Indonesian Journal of electronics, electromedical engineering, and medical informatics
The Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics which covers three (3) majors areas of research that includes 1) Electronics, 2) Biomedical Engineering, and 3) Medical Informatics (emphasize on intelegent system design). Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two reviewers.
Articles
113 Documents
<![CDATA[Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram (EMG Parameter ) Monitoring Signals ]]>
<![CDATA[Muhammad Fauzi]]>;
<![CDATA[Endro Yulianto]]>;
<![CDATA[Bambang Guruh Irianto]]>;
<![CDATA[Sari Luthfiyah]]>;
<![CDATA[Triwiyanto Triwiyanto]]>;
<![CDATA[Vishwajeet Shankhwar]]>;
<![CDATA[Bahaa Eddine ELBAGHAZAOUI]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): August ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i3.240
<![CDATA[Physical activity is an activity of body movement by utilizing skeletal muscles that is carried out daily. One form of physical activity is an exercise that aims to improve health and fitness. Parameters related to health and fitness are heart and muscle activity. Strong and prolonged muscle contractions result in muscle fatigue. To measure muscle fatigue, the authors used electromyographic (EMG) signals through monitoring changes in muscle electrical activity. This study aims to make a tool to detect the effect of muscle fatigue on cardiac signals on 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. To get more detailed measurement results, the authors use MPF, MDF and MNF and perform a T-test. The test results showed a significant value (pValue <0.05) in the pre-test and post-test. The Pearson correlation test got a value of 0.628 which indicates there is 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 tools 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.]]>
<![CDATA[Analysis of The Accuracy of Temperature Sensors at The Calibrator Incubator Laboratory are equipped with data storage base on Internet of Thing ]]>
<![CDATA[Candra Prastyadi]]>;
<![CDATA[Bambang Guruh Irianto]]>;
<![CDATA[Her Gumiwang Ariswati]]>;
<![CDATA[Dyah Titisari]]>;
<![CDATA[Steyve Nyatte]]>;
<![CDATA[Shubhrojit Misra]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i3.241
<![CDATA[A laboratory incubator is a tool used to incubate or incubate a breed. Incubators provide optimum temperature conditions for microorganisms to grow. The incubator has a temperature regulator so that the temperature can be adjusted according to the breed to be incarnated. Incubators utilize hot-dry like ovens. The purpose of this study is to conduct testing and analyze the accuracy of thermocouple sensors with incubator media in laboratory incubator calibrator tools. The contribution of the research is to know the level of accuracy of the sustainable sensor for sensing the temperature in the lab incubator. The main Design consists of 8 MAX 6675 Standards, 8 Thermocouple type K, Arduino Mega, and SD Card Standards. The temperature not in the incubator device is measured by a Type K thermocouple sensor. Thermocouple sensor numbers 8 channels that measure the temperature at each incubator camber point. The temperature will be stored on the SD card to analyze the data and the data can be processed into the form of a graphic. Benchmarking is done using a data logger temperature tool. This is done to make the Design results are under the standards of the Standard. After comparing with the Standard get the largest error value is 3.98%, at channel T6 temperature 35 °C with ordinary incubator media and the smallest error in ordinary incubator media point T6 temperature 37 ° C which is 0.06 % and in fan incubator temperature 35 C has the largest error which is 2.98 % and the smallest error 0.86%. The conclusion of this study is that the design can work well in measuring the temperature of the incubator, as well as the system for storing readings using the SD card Design and sending data using the internet network can work well.]]>
<![CDATA[A Analysis of The Capture Result of Flat Panel Detector Design with Arduino-Based BPW34 Photodiode Sensor against mA and kV Settings ]]>
<![CDATA[Muhammad Rois Amin]]>;
<![CDATA[Muhammad Fajar Wahyudi]]>;
<![CDATA[Muhammad Ridha Makruf]]>;
<![CDATA[Tri Bowo Indrato]]>;
<![CDATA[Andjar Pudji]]>;
<![CDATA[Satheeshkumar Palanisamy]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): August ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i3.242
<![CDATA[The exposure factor is the factor that determines the intensity and quality of X-rays received by the patient. Exposure factors that can be controlled are: tube voltage (kV), tube current (mA), irradiation time (second), and distance of the X-ray tube to the film (FFD). The purpose of this study was to capture X-rays at a relatively affordable manufacturing price and to obtain a difference in value from the detector's catch between dark and light by utilizing the response of the BPW34 photodiode sensor. The contribution of this study is that the system can display grayscale and numerical on an 8x8 pixel matrix using the Matrix Laboratory (MATLAB) Application. This study was able to convert images taken from analog data after taking measurements on X-rays. The measurements are carried out by 2 methods, there are range used was 32-63mA, with a tube voltage of 50 kV at an irradiation duration of 1 second and 50 - 70 kV, with a tube current of 40 mA and an irradiation duration of 1 second. From the measurement results, it shows that the Flat Panel Detector Design Tool after being compared with the Philips brand DR is able to respond to differences in dose and object thickness. The results of this study indicate that this tool can be used to capture X-rays so that the degree of blackness of the film can be known.]]>
<![CDATA[Electronic Stethoscope Design with IoT (Internet of Things)-based Disease Symptom Detection ]]>
<![CDATA[Torib Hamzah]]>;
<![CDATA[Endang Dian Setioningsih]]>;
<![CDATA[Sumber Sumber]]>;
<![CDATA[Nazila Ragimova]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i4.247
<![CDATA[Auscultation is a technique or method most often used by medical personnel in the initial examination of patients. One way is to use a stethoscope. However, this method has its drawbacks because the diagnosis is carried out subjectively and cannot be relied on with the accuracy to diagnose the symptoms of heart defects. Thus, the purpose of this study is to create an IoT system for electronic stethoscopes with BPM value output and make analog filters to eliminate noise interference which was a major obstacle in previous studies. The contribution to this study is to make it easier for medical users to monitor vital conditions, namely BPM remotely and produce BPM values in real-time. The method used in this study was to use a mic condensor placed on the patient's chest to detect pressure changes that occurred. This change in pressure causes a change in the voltage output value on the condensor mic. Output dari mic condenser masuk dan diproses di rangkaian PSA. Output sinyal dari PSA masuk ke mikrokontroler yang telah diprogram. Hasil yang dipeoleh dari pengukuran mengasilkan nilai error pengukuran nilai BPM dari 5 responden dan diperoleh nilai error yang dihasilkan dari responden 1 diperoleh error sebesar 0.33 BPM, responden 2 diperoleh nilai error sebesar 0,67 BPM, responden 3 memiliki nilai error sebesar 0,5 BPM, responden 4 nilai error sebesar 0,67 dan responden 5 mempunyai nilai error sebesar 0,67 BPM. The results of the statistical test were also obtained P-Value>0.05 which explained that the resulting value did not have a significant difference and could be used for medical purposes. This research can help make it easier for doctors to analyze and diagnose symptoms of heart defects because this system is equipped with the detection of disease symptoms.]]>
<![CDATA[Performance Comparison of ECG Bio-Amplifier Between Single and Bi-Polar Supply Using Spectrum Analysis Based on Fast Fourier Transform ]]>
<![CDATA[Anita Miftahul Maghfiroh]]>;
<![CDATA[Syevana Dita Musvika]]>;
<![CDATA[Vugar Abdullayev]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i4.248
<![CDATA[Heart performance is one of the vital signs that cannot be ignored and must be monitored periodically. In this case, the measuring range of the human heart rate is between 60-100 BPM, in which the measurement unit is expressed as Beat per Minute (BPM). Therefore, it is very important to use Electrocardiograph equipment to tap the electrical signals of the heart with correct readings and minimal interference such as frequency of electric lines and noise. The purpose of this study was to compare the instrumentation amplifier using a single supply with a bi-polar supply in the ECG design to select the best instrumentation amplifier, which is expected to contribute to other researchers in choosing the right type of instrumentation amplifier that is efficient and qualified. In this case, the research was carried out by comparing two single supply instrumentation amplifiers using the AD623 IC and the bi-polar supply using the AD620 IC, continued by the use of Fast Fourier Transform (FFT) to determine the frequency spectrum of the ECG signal. The test results further showed that the use of single power instrumentation could reduce more noise compared to the Bi-Polar instrumentation amplifier by strengthening 60 dB Low pass filter circuit. Meanwhile, the FFT results in finding the frequency spectrum explained that the FFT results on the ECG signal provided information that the ECG signal had a frequency range between 0.05 Hz and 100 Hz. When the frequency is more than 100 Hz, the frequency started to be suppressed and when the frequency is less than 100 Hz, the frequency is passed. This research could be further used as a reference by other researchers to determine which type of instrumentation amplifier is better.]]>
<![CDATA[Comparison of two Wireless Electromyography Sensor Module Designs using wet electrodes and dry electrodes at the time of Sitting motion to stand ]]>
<![CDATA[Farid Amrinsani]]>;
<![CDATA[Levana Forra Wakidi]]>;
<![CDATA[Made Dwi Pandya Suryanta]]>;
<![CDATA[Dessy Tri Wulandari]]>;
<![CDATA[Wahyu Caesarendra]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i4.249
<![CDATA[One of the biosignals used to identify muscle signals in humans is electromyography. Electromyography signals are frequently utilized as input and are designed to aid in post-stroke therapy recovery or to assist people with disabilities. This phenomena has led to the development of numerous electromyography module sensor designs for use in support of various research-based applications. In this study, an electromyography sensor module without an electrode cable is compared to an electromyography sensor module that uses gel electrodes, plate electrodes, electrode cables, and other electrode technologies. A function generator is used to test each module, and the correlation value is sought to determine the connection between the two modules under consideration. Later, the findings of this study served as the foundation for other studies. Researchers also wish to explore the possibility of developing an electromyography sensor module by altering the wireless EMG sensor module's structure and design. Whereas this study can subsequently be extremely helpful to improve the standing of the Health Poltekkes Kemenkes Surabaya.]]>
<![CDATA[Desain and Build a Medium Voltage Cubicel Temperature and Humidity Optimization Tool to Minimize the Occurrence of Corona Disease with the PLC-Based Fuzzy Method ]]>
<![CDATA[Sindy Yurisma Sheila]]>;
<![CDATA[Nur Wakhidatur Rochamwati]]>;
<![CDATA[Faris Riyadi]]>;
<![CDATA[Reza Fardiyan As’ad]]>;
<![CDATA[Anggara Trisna Nugraha]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i4.251
<![CDATA[Cubicle is an electrical device that functions as a breaker, protector, connector, controller, and divider of the power system electricity from a power source and reduce sparks when connecting. One of the problems that occur in medium voltage cubicles is the presence of corona. Corona phenomena at cubicle terminations can trigger disturbances such as a decrease in insulation quality, power loss and a significant increase in harmonic distortion. Based on previous research, the solution to minimize the occurrence of corona is to optimize the temperature and humidity of the cubicle. Many of the previous studies examined the control of cubicle temperature and humidity using fans and heaters, but the temperature and humidity had not yet reached a stable and optimal point. In this study, raised a problem regarding the optimization of temperature and humidity in cubicles using the fuzzy method to stabilize the performance of medium voltage cells. In this study, it was found that the fuzzy method in this prototype was able to stabilize the panel humidity at 55% RH and stabilize the panel room temperature at 31.5 o C. Thus, it is hoped that a stable and optimal temperature and humidity can minimize the occurrence of corona. The use of HMI/SCADA based applications can facilitate the ability of the user (operator) to monitor several available parameters and manually control the operation of the panel (on/off).]]>
<![CDATA[Detection Signal Electromyograpy using Dry Electrode and Disposible Electrodes on the Upper Extremity when Lifting Weights ]]>
<![CDATA[Farid Amrinsani]]>;
<![CDATA[Levana Forra Wakidi]]>;
<![CDATA[Made Dwi Pandya Suryanta]]>;
<![CDATA[Dessy Tri Wulandari]]>;
<![CDATA[Muhammad Tariq Sadiq]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): November ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v4i4.252
<![CDATA[One of the biosignals used to identify human muscle impulses is electromyography. Electromyographic signals are frequently utilized as inputs and are designed to help persons with disabilities or aid in the healing process following stroke therapy. According to studies, this occurrence has led to the development of numerous electromyography module sensor designs to meet different purposes. In this work, disposable electrodes and dry electrodes are used to examine the root mean square RMS values of two different electromyography sensor module types. With a 3 kg barber lift action, each module is used to detect signals in the biceps, which are part of the upper extremity muscles. According to the study's findings, the two electromyography modules with disposable electrodes produced data with a p-value of 0.001766368 0.05. It can be inferred that there is no difference between the E1 and E2 modules because the p-value for the t-test of the two modules with dry electrodes is 0.001766368 0.05. However, there is a variance in the amplitude's magnitude, with a difference of 30mV between the disposable and dry electrodes. The results of this study can be used to teach students, and a module developed as a result of it can be applied to other studies to help find electromyographic signals.]]>
<![CDATA[IoT-Based Medical Box Improvement for The Elderly Adapting ISO 17025 and QoS ]]>
<![CDATA[Dewi Sekar Arum]]>;
<![CDATA[Danny Kurnianto]]>;
<![CDATA[Muhammad Yusro]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i1.256
<![CDATA[Elderly is a period characterized by limited movement functions in the body. Elderly with multiple comorbidities have a higher risk of non-adherence because receiving more than one type of drug is more susceptible to skipping medication hours so that the elderly need reminders and drug storage areas to maintain drug quality. This research was carried out with Arduino Uno as the control center of the system and using the ESP8266 Wi-Fi module for internet connection. This system uses a DHT-22 sensor, an HW-201 IR sensor and a servo motor. Tool standardization is also carried out through method validation adapting ISO 17025 and network-related Quality of Service (QoS). The results show that the system can work according to the command with an alarm notification on the android application when the clock shows the time to take medicine. Based on the DHT 22 sensor test, by measuring the temperature and humidity, the bias value is 0.318% and the trueness value is 99.7%. This Medical Box tool also has an acceptance limit precision of 83%. Based on the QoS network testing according to THIPON, the network quality is categorized as very good for throughput of 5241 Kbps, packet loss of 0%, delay of 136.5 msec, and jitter of 21.28 which are categorized as very good. This study designed a system to make it easier for the elderly as a reminder of the schedule for taking medication as well as a place to store drugs that can maintain the quality of drugs]]>
<![CDATA[QRS Detection On Heart Rate Variability Readings using Two Moving Average Methods ]]>
<![CDATA[Ayu Nissa Berlianri Rizhky]]>;
<![CDATA[I Dewa Gede Hari Wisana]]>;
<![CDATA[Sima Das]]>
<![CDATA[ Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February ]]>
Publisher : <![CDATA[Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia ]]>
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DOI: 10.35882/ijeeemi.v5i1.258
<![CDATA[Heart Rate Variability or heart rate in humans is used to unify the heart rate in humans, the function of the heart rate monitor is used to unite the human heart rate. The purpose of making this tool is to read the human heart rate using the Two Moving Average method or moving average which makes it easy to find the R peak to peak signal, making it easier to read. This is achieved by discovering and studying each window size change specified by, so that it can be seen the change in every two moving averages for each window size value. This study uses the Arduino Nano system for data processing and uses Delphi to display the processed data. In this study examined signaling and heart rate monitoring for 5 minutes. In this study it can be said that, the best window size with the best signal results for measuring heart rate is the window size 15 . this method is a method with a good accuracy rate of 98%. And also this method can be displayed directly by displaying the RR Interval and HRV value for 10 minutes with results close to 0. This method is recommended to detect high enough P and T signal.]]>
