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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
Triwiyanto Triwiyanto
Poltekkes Kemenkes Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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INCU Analyzer for Infant Incubator Based on Android Application Using Bluetooth Communication to Improve Calibration Monitoring Vijay Anant Athavale; Abhilash Pati; A K M Bellal Hossain; Sari Luthfiyah; Triwiyanto Triwiyanto
Jurnal Teknokes Vol 15 No 1 (2022): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i1.1

Abstract

Worldwide, over 4 million babies die within a month of birth each year. Of these, 3.9 million are in developing countries. A proportion approximately 25% of these deaths are due to complications of premature birth, most commonly inadequate thermoregulation, water loss, and neonatal jaundice. An infant incubator provides stable temperature, relative humidity, and airflow values. A periodical calibration should be applied on infant incubator to monitor the functionality. The study aims to develop a calibration device that measures temperature, humidity, airflow, and noise in the baby incubator based on an Android application with Bluetooth communication to improve the calibration monitoring process. This is to achieve a better performance of the conventional INCU analyzer. The contribution of this research is that the values of the temperature, humidity, airflow, and noise can be displayed on both devices, the INCU analyzer machine, and mobile phone; thus, the user can monitor the measurement activities wirelessly. Furthermore, the statistical calculation for all measurements can be saved on a mobile phone device. The main design consists of temperature sensor LM35, humidity sensor DHT22, airflow sensor MPX5010DP, an analog signal conditioning circuit, an Arduino Mega microcontroller, Bluetooth module HC05, and Android mobile phone. The resulting design was compared to the standard or calibrator INCU analyzer machine (Fluke Biomedical INCU II). This study found that the smallest error is -1.72%°C, -0.106 % RH, -1.727% dB, and <0.1% m/s for temperature, humidity, noise, and airflow parameters, respectively. After the evaluation process, this device can be used as an INCU analyzer to calibrate the infant incubator.
Analysis of the Effectiveness of Using Digital Filters in Electronic Stethoscopes Andi Fathkur Rohman; Muhammad Ridha Mak'ruf; Triwiyanto Triwiyanto; Lamidi Lamidi; Phuoc-Hai Huynh
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i4.256

Abstract

The heart sound produced in some cases of the disease shows a certain pattern. The purpose of this study was to design an electronic stethoscope for cardiac auscultation with the following display. The contribution in this study is being able to show certain patterns that can be diagnosed in the sound signal. So that the pattern can be known when there is a heart disease disorder, an electronic stethoscope will be made for auscultation of the next display, making it easier for users to diagnose heart disease. The heart sound is obtained from the mechanical activity of the heart which is tapped by a condenser mic. The heart sound will be held in a pre-amp circuit, then the filters used are High Pass Filters and Low Pass Filters with an interrupted frequency of 20-95 Hz. The output of the filter circuit will enter the booster circuit. Then it will be processed by the microcontroller. In processing the data that will be displayed on Nextion and Speaker, the author uses Arduino Mega. Based on the test, it can be seen that the digital filter has a slight error rate because it removes the most noise, while in the analog filter there is still a lot of noise. The results of the research that has been done can be implemented using a system that really supports the needs.
Enhancing the Electrocardiogram Signal Quality by Applying Butterworth Infinite Impulse Response Filter 8th Order Nindia Rena Saputri; Sari Luthfiyah; Dyah Titisari; Bedjo Utomo; Lusiana Lusiana; Triwiyanto Triwiyanto; Faheem Ahmad Reegu; Wahyu Caesarendra
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i4.259

Abstract

The electrocardiogram (ECG) of the human body is an important basis in heart function as well as the diagnosis of cardiovascular diseases, which has a very vital role in clinical diagnosis. Obtaining high-quality ECG signals with a portable remote ECG acquisition system is a big challenge given limited resources. According to the World Health Organization (WHO), disorders of the cardiovascular system still rank high, causing about 31% of deaths globally. This is because the symptoms of cardiovascular disease cannot be seen directly, but rather by conducting an electrocardiograph (ECG) examination. The purpose of this research is to develop and analysis the ECG signal by comparing the 2nd order AD8232 module analogue filter with the 8th order Butterworth digital filter by applying infinite impulse response. This research uses a multiplexer circuit for switching leads, AD8232 ECG module, 50Hz notch filter circuit, non-inverting amplifier, adder, Arduino Mega 2560, USB module, and an application to display digital signals, namely Delphi 7. Signal acquisition is done by monitoring for one minute. Data collection was carried out with 5 respondents 5 times on each lead. The results of the data collection can be concluded that 80% of digital filters display smoother signals for ECG signals than analogue filters.
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.
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

Abstract

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.
Co-Authors A K M Bellal Hossain Abhilash Pati Achmad Rizal Andi Fathkur Rohman Andjar Pundji Anita Miftahul Maghfiroh Arifah Putri Caesaria Bahaa Eddine ELBAGHAZAOUI Bambang Guruh Irianto Dwi Herry Andayani Dyah Titisari Endang Dian Setioningsih Endro Yulianto Faheem Ahmad Reegu Gita Aprilyana I Dewa Gede Hari Wisana Indrato, Tri Bowo Kinanti Elok Putri Lamidi Lamidi Lamidi, Lamidi Liliek Soetjiatie Lusiana Lusiana Luthfiyah, Sari M Shaib Moch Sahrul Triandi Putra Sahrul Muhammad Fauzi Muhammad Ridha Mak'ruf Musyahadah Arum Pertiwi Nindia Rena Saputri Nuril Hidayanti Pawana, I Putu Alit Phuoc-Hai Huynh Raden Duta Ikrar Abadi Sandeep Kumar Gupta Sari Luthfiyah Sari Luthfiyah Sasivimon Sukaphat Shofiyah Shofiyah Syarifatul Ainiyah Torib Hamzah Torib Hamzah Triana Rahmawati Utomo, Bedjo Vijay Anant Athavale Vishwajeet Shankhwar Vugar Abdullayev Wahyu Caesarendra