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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Majalah Forum Teknik UGM Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Ilmiah Tatengkorang Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advanced Health Science and Technology Frontiers in Community Service and Empowerment Jurnal Teknokes

Endro Yulianto

Jurusan Teknik Elektromedik, Poltekkes Kemenkes Surabaya

Author-ID : 2671736

Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Nursing Public Health Other

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Pengukuran Arus dan Frekuensi pada Alat Elektrostimulator Caesar Febri Nugroho; Endro Yulianto; sumber sumber
Jurnal Teknokes Vol 13 No 1 (2020): April
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

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

Pengukuran merupakan kegiatan membandingkan suatu besaran yang diukur dengan alat ukur yang digunakan sebagai satuan. Alat ukur tens ini digunakan untuk mengukur tingkat frekuensi keluaran, arus keluaran dan menampilkan bentuk sinyal pada suatu alat tens yang mempunyai standart tertentu untuk bisa digunakan. Tujuan dari penelitian ini adalah mendesain sebuah alat pengukuran arus dan frekuensi pada TENS yang memiliki nilai standart tertentu agar dapat digunakan untuk melakukan terapi kejut listrik yang memiliki tingkat frkuensi rendah ataupun frekuensi tinggi agar keluaran sesuai dengan standart yang digunakan. Keuntungan dari penelitian ini adalah sistem pengukuran frekuensi dan arus dapat langsung dilakukan tanpa memerlukan instalasi kelistrikan agar dapat segera melakukan pengukuran, karena alat yang dibuat penelitian ini bersifat portable atau tidak memerlukan instalasi listrik 220v. Penelitian ini menggunakan sensor arus berjenis ACS712 untuk mendeteksi arus keluaran dari alat TENS. Komponen yang digunakan pada penelitian ini antara seperti mikrokontroler ATmega328 sebagai pusat kendali dari pemberian perintah pada alat agar dapat bekerja, LCD TFT Nextion 3,2 inch sebagai sebagai penampilan arus dan frekuensi keluaran TENS dalam bentuk angkan serta penampilan bentuk sinyal dan modul charger sebagai pengisian baterai ketika baterai habis. Penelitian ini merupakan eksperimen murni dan belum ada peneliti yang membuat alat ini sebelumnya. Untuk penelitian lebih lanjut dapat menambahkan parameter lain dan mengembangkan bentuk sinyal menjadi 2 bentuk sinyal, menambahkan indikator tegangan sebagai indikator pengaman dan penambahan indikator daya baterai agar mengetahui presentase baterai yang tersisa.

Twelve Channel ECG Phantom Based on MEGA2560 and DAC-MCP4921 Fadilla Putri Devito Nur Azizah; Bambang Guruh Irianto; Endro Yulianto
Jurnal Teknokes Vol 14 No 2 (2021): September
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v14i2.5

Electrocardiograph (ECG) is one of the diagnostic sciences that is often studied in modern medicine, one of which is to diagnose and treat diseases caused by the heart. Therefore, it is necessary to check the function of the ECG recorder tool, namely by carrying out the tool calibration procedure using Phantom ECG. The purpose of this research is to design a Phantom ECG for a 12 channel ECG device which includes lead I, lead II, lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 and completes it with a sensitivity selector. The contribution of this research is that the tool can be used as a calibration tool for the ECG Recorder and can be used as a learning medium in the world of health. In order to create a signal that matches the original, this tool uses a heart signal formation method using a DAC type MCP4921 with an ATMEGA2560 microcontroller and for display settings using a 2.4 inch TFT Nextion Display. The MCP4921 type DAC converts the digital signal data into analog data which will then be forwarded to the resistor network circuit as a signal formation for each lead. In the measurement results, the error in measurements with sensitivity of 0.5 mV, 1.0 mV, and 2.0 mV using an ECG Recorder at BPM 30 is 0.00%, BPM 60 is 0.00%, BPM 120 is 0.00%, and BPM 180 is 0.56%. The results showed that the biggest error was found in BPM 180, which was 0.56%.

Spektrum Frekuensi Sinyal EEG Terhadap Pergerakan Motorik dan Imajinasi Pergerakan Motorik Endro Yulianto
Forum Teknik Vol 35, No 1 (2013)
Publisher : Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1577.093 KB)

This research is aimed to getji-equency spectrum of EEG signals for the motor movement and imagination of motor movement. EEG data is measured from scalp electrode of C3, C4, P3 and P4 (Central and Parietal). The motor movement in this research is "turn right” and "turn left” in which the steering wheels are used to facilitate the volunteer in having concentration. Imagination of motor movement meanwhile represents desire of volunteer to turn steering wheel either to right or to left. Fourier transform is used to transform signals in time domain becoming signals in frequency domain. The result in this research shows the difference of frequency spectrum among motor movement of "turn right" and "turn left" as well as in imagination of motor movement. Keywords: BCI, ERS/ERD, transformasi fourier, motor movement

Digital ECG Phantom Design to Represent the Human Heart Signal for Early Test on ECG Machine in Hospital Sella Octa Ardila; Endro Yulianto; Sumber Sumber
International Journal of Advanced Health Science and Technology Vol. 1 No. 1 (2021): November
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Electrocardiograph (ECG) is a diagnostic tool that can record the electrical activity of the human heart. By analyzing the resulting waveforms of the recorded electrical activity of the heart, it is possible to record and diagnose disease. Given the importance of the ECG recording device, it is necessary to check the function of the ECG recording device, namely by performing a device calibration procedure using the Phantom ECG which aims to simulate the ECG signal. The purpose of this research is to check the ECG device during repairs, besides that the Electrocardiograph (EKG) tool functions for research purposes on ECG signals or for educational purposes. Electrocardiograph (EKG) simulator or often called Phantom ECG is in principle a signal generator in the form of an ECG like signal or a recorded ECG signal. This device can be realized based on microcontroller and analog circuit. The advantage of this simulator research is that the ECG signal displayed is the original ECG recording and has an adequate ECG signal database. ECG This simulator also has the advantage of providing convenience for research on digital signal processing applications for ECG signal processing. In its application this simulator can be used as a tool to study various forms of ECG signals. Based on the measurement results, the error value at BPM 30 and 60 is 0.00% at the sensitivity of 0.5mV, 1.0mV, and 2.0mV, then the measurement results for the error value at BPM 120 are 0.33% and at the BPM 180 value, the error value is 0.22%. From these results, it can be concluded that the highest error value is at BPM 120 with sensitivities of 0.5mV, 1.0mV, and 2.0mV.

Dynamic feature for an effective elbow-joint angle estimation based on electromyography signals Triwiyanto Triwiyanto; Triana Rahmawati; Endro Yulianto; Muhammad Ridha Mak'ruf; Priyambada Cahya Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp178-187

Some physical parameters influence the electromyography signal (EMG). when the EMG signal is used to estimate the position of the elbow. An adaptable feature was important to reduce a variation on the parameters. The aim of this paper is to estimate the joint position of the elbow using EMG signal based on a dynamic function. The major contribution of this work is that the method proposed is capable of determining the elbow position using the non-pattern (NPR) recognition (PR) method. A Wilson amplitude (WAMP) which used a dynamic threshold was used to reduce the EMG signal. The dynamic threshold was generated from the root mean square (RMS) processor. With the dynamic threshold, the model could adapt to any variations on the independent variables. In order to confirm this opportunity, this work involved ten healthy male subjects to perform an experimental protocol. After a tuning and calibration process, the mean of RMS error and correlation coefficient are 9.83º±1.69º and 0.98±0.01 for a single cycle of motion, 10.39º±1.82º and 0.97±0.01 for a continuous cycle of motion and 15.19º±1.92º and 0.94±0.02 for the arbitrary gesture. For conclusion, the performance of the prediction did not significantly depend on the varying cycle of gesture (p-value>0.05). This study has confirmed that the success of the non-pattern recognition-based prediction of elbow position is adaptable to any different subjects, loads, and speed of motion.

Analysis of the Geiger Muller Ability on the Effect of Collimation Area and Irradiation Distance on the Dose of X-Ray Machine Measurements Wahyu Pratama; Muhammad Ridha Mak'ruf; Tri Bowo Indrato; Endro Yulianto; Lamidi Lamidi; Maduka Nosike; Sambhrant Srivastava
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.v4i3.249

Radiation cannot be felt directly by the five human senses. For the occupational safety and security, a radiation worker or radiographer is endeavored to receive radiation dose as minimum as possible, which is by monitoring the radiation using a radiation measuring device. The purpose of this study was to analyze the effect of collimation area and irradiation distance on x-ray dose measurement using Geiger Muller. In this case, the author tried to make a dosimeter by using the Muller Geiger module and displayed it on a personal computer. This research employed Muller Geiger sensor to detect X-ray dose and velocity, Arduino for data programming, Bluetooth HC-05 for digital communication tool between hardware and personal computer, and personal computer to display the reading. Current research was conducted using Pre-Experimental research design. Based on the results of data collection and comparison with the standard tool, it can be concluded that the greater the tube current setting (mA), the greater the dose and rate of radiation exposure at a distance of 100cm with 50KV and 70KV settings, and a distance of 150cm with 50KV settings. However, it is inversely proportional to the measurement results at a distance of 150cm with a 70KV setting. The results of this study are further expected to determine the ability of Geiger Muller to measure the dose to the irradiation distance or collimation area and can be used as a reference for further research in this field.

Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram (EMG Parameter ) Monitoring Signals Muhammad Fauzi; Endro Yulianto; Bambang Guruh Irianto; Sari Luthfiyah; Triwiyanto Triwiyanto; Vishwajeet Shankhwar; Bahaa Eddine ELBAGHAZAOUI
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 3 (2022): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.240

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.

Effect of Muscle Fatigue on EMG Signal and Maximum Heart Rate for Pre and Post Physical Activity Arifah Putri Caesaria; Endro Yulianto; Sari Luthfiyah; Triwiyanto Triwiyanto; Achmad Rizal
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v5i1.278

Sport is a physical activity that can optimize body development through muscle movement. Physical activity without rest with strong and prolonged muscle contractions results in muscle fatigue. Muscle fatigue that occurs causes a decrease in the work efficiency of muscles. Electrocardiography (ECG) is a recording of the heart's electrical activity on the body's surface. EMG is a technique for measuring electrical activity in muscles. This study aims to detect the effect of muscle fatigue on cardiac signals by monitoring ECG and EMG signals. This research method uses the Maximum Heart Rate with a research design of one group pre-test-post-test. The independent variable is the ECG signal when doing plank activities, while the dependent variable is the result of monitoring the ECG signal. To get the Maximum Heart Rate results, respondents use the Karnoven formula and perform the T-test. Test results show a significant value (pValue <0.05) in pre-exercise and post-exercise. When the respondent experiences muscle fatigue, it shows the effect of changes in the shape of the ECG signal which is marked by the presence of movement artifact noise. It concluded that the tools in this study can be used properly. This study has limitations including noise in the AD8232 module circuit and the display on telemetry where the width of the box cannot be adjusted according to the ECG paper.is It recommended for further research to use components with better quality and replace the display using the Delphi interface.

Design of Carbon Dioxide Levels Measurement in Human Expiration Using EtCO2 Capnography Method Rifky Maulana Fuadi; Endro Yulianto; Bambang Guruh Irianto; Abhishek Mishra
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): February
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v5i1.266

Asthma is a chronic respiratory disease and 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 is to create an EtCO2 capnography device that is able to measure CO2 levels in patients with asthma or difficulty 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 is used at a low price. The research was conducted by utilizing a CO2 gas sensor type Cozir-WX-20 which reads 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 is taken from CO2 cylinders and medical air gas at various flow volume values and is connected to the Cozir sensor and 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 get 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. It is hoped that this inexpensive EtCO2 Capnography device can be used for diagnostic purposes in the emergency room or intensive care unit to quickly and accurately determine the urgency of using a ventilator in a patient to avoid a fatal condition.

Analysis of Abdominal Respiratory Sensor Performance in Sleep Apnea Conditions Dimas Adi tya; Endro Yulianto; Sumber Sumber
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i1.494

Abdominal respiratory sensor is a sensor used to detect sleep apnea that is specifically for neonates, this sensor is specifically for neonates because the use of this sensor does not require a voltage input to activate the sensor. In the absence of voltage input so as not to disturb the heart rhythm in neonates. When the sensor is no longer elastic, the pressure difference generated by the sensor will be unstable so that the sensor cannot work optimally. With these conditions, the period of use of the sensor needs to be known how durable the sensor is when it is used on patients so that the sensor can maximally detect the occurrence of apnea in neonates. How many times have you been in apnea. This study uses an Arduino microcontroller to process the pressure value and RR value generated by the stomach sensor and the MPX5010dp pressure sensor. the research method used is to use a simulator to analyze the combination of abdominal sensors and pressure sensors to monitor apnea. If viewed based on the average error, the error value in the RR 10bpm setting is ±0.185%, the RR 15 setting is ±0.245%, and the setting RR 20bpm is ±0.383%. From the average error value, it can be said that the higher the RR setting value, the higher the average error for each decrease in pressure output. it can be concluded that the performance of the use of the Abdominal Respiratory Sensor and Pressure Sensor on the Apnea Monitoring module functions well in detecting RR according to the settings on the simulator for 3-day monitoring. The development that can be done in this research is to use a more sensitive pressure sensor so that the results obtained are more stable and make the module display more attractive.

Co-Authors ., Sumber Abd Kholiq Abhishek Mishra Ach Jiddan Asrori' Achmad Rizal Adhi Susanto Ahmad Kamil Solihin Ali, Latafat Mikayilzade Andjar Pudji Andri Lazuardi Wahyu Pambudi Anggraeni Dara Pratiwi Anita Miftahul Maghfiroh Aprilina Gayuh Arniningtyas Arifah Putri Caesaria Arniningtyas, Aprilina Gayuh Ashish Bhatt Bahaa Eddine ELBAGHAZAOUI Bambang Guruh Irianto Caesar Febri Nugroho Dimas Adi tya Dwi Herry Andayani Edy Haryanto Fadilla Putri Devito Nur Azizah Fahmi Ardhi Faizal, Ajesh Ferry Kriswandana Ginarsih, Yuni Her Gumiwang Ariswati Herlina Candra Putri Hilmi Yumni I Dewa Gede Hari Wisana Imam Sarwo Indarto, Tri Bowo Ira Puspitasari Irwan Sulistio Isnanto Juliana Christyaningsih K. K. Mujeeb Rahman Kholiq, Abd Lamidi Lamidi Latafat Mikayilzade Ali Levana Forra Wakidi Liliek Soetjiatie Luthfi Rusyadi Luthfiyah, Sari Luthfiyah, Sari Maduka Nosike MINARTI Moh. Amin Nasrullah Muhammad Fauzi Muhammad Iqbal Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Nadiya Garnis Sallyfan Nur Fildzah Hidayati Priyambada Cahya Nugraha Priyambada Cahya Nugraha Pudji, Andjar Putra, Wahyu Ramadhan Raden Duta Ikrar Abadi Rahmawati, Triana Ramadhan, Bahrurrizki Retno Sasongko Wati Rifky Maulana Fuadi Rokhmalia, Fitri Salwa, Umaimah Mitsalia Ummi Sambhrant Srivastava Samekto Wibowo Sandeep Kumar Gupta Sari Luthfiyah Sari, Ira Rahayu Tiyar Sella Octa Ardila Siti Mar'atus Slamet Wardoyo SRI UTAMI Sulistyowati, Dwi Wahyu Wulan sumber sumber Syaifudin Syaifudin Taufiqurrahman Thomas Sri Widodo Torib Hamzah Tri Bowo Indrato Triana Rahmawati Triana Rahmawati Triwiyanto Triwiyanto Vishwajeet Shankhwar Vugar Abdullayev Wahyu Caesarendra Wahyu Pratama Yulia Ningrum, Churie Nurhaeni

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