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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
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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Journal : Indonesian Journal of electronics, electromedical engineering, and medical informatics

 1 
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

Abstract

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.
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

Abstract

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.
The Sensor Occlusion SEN0257 on the Infusion Device Analyzer 2 Channel with TFT Display ensures high accuracy in detecting occlusions. Ach Jiddan Asrori'; Endro Yulianto; Triana Rahmawati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): 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.v5i3.300

Abstract

Syringepump and Infuspump function to provide drugs or fluids that are carried out directly and continuously for a certain period of time through a blood vessel. Often encountered problems of blockage or occlusion in the use of infusion pumps and syringe pumps. Occlusion in the infusion device causes the incoming drug fluid to not flow constantly. Occlusion limit set at 20 Psi according to ECRI. To ensure this, proper calibration is required at least once a year. The purpose of this research is to analyze the accuracy of the pressure sensor on the Occlusion measurement on the Infusion Device Analyzer 2 Channel showing TFT. This study has 2 channels so that it can calibrate 2 tools simultaneously. The design of this module uses a Water Pressure Sensor to measure occlusion and a solenoid valve for pressure simulation. When the sensor is depressed, the sensor detects the pressure and is processed by the Arduino. The pressure results are then displayed on a 7-inch TFT LCD in the form of graphs and numbers in real time and stored on the SD card.
Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters. Andri Lazuardi Wahyu Pambudi; Endro Yulianto; Levana Forra Wakidi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): 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.v5i3.313

Abstract

The PIF and PEF parameters on the ventilator need to be taken into account to monitor the condition of patients undergoing mechanical ventilation. Both of these parameters need to undergo periodic testing to ensure that the ventilator can provide accurate information to its users. The testing of these two parameters can be conducted using a flow analyzer. The objective of this research is to develop a flow analyzer for PIF and PEF parameters using the AFM3000 flow sensor, with the results displayed on an LCD TFT screen in the form of graphs and numerical values. The research measurements were conducted in Volume Control (VC) mode with VT settings of 200, 300, 400, 500, and 600 mL. Data collection was done using two methods to obtain two different types of data. From the first data collection, the largest errors in reading PIF and PEF values were found to be 3.49% and 2.99%, respectively. The second data collection resulted in a sensor's change in reading constant flow of ±0.1 LPM. Overall, the research findings indicate that the AFM3000 sensor has good accuracy and stability. Additionally, the AFM3000 flow sensor has good sensitivity and very short delay, making it suitable for real-time graph display in the module.
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