Article Per Year (5 Year)
p-Index From 2020 - 2025
4.336
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL PENELITIAN KESEHATAN Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Ilmiah Tatengkorang Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Frontiers in Community Service and Empowerment Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics JISCOMP (Journal of Information System and Computer) Jurnal Teknokes
I Dewa Gede Hari Wisana
Poltekkes Kemenkes Surabaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Nursing Public Health Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search
Journal : Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics

 1 
QRS Complex Detection on Heart Rate Variability Reading Using Discrete Wavelet Transform Wihantara, Arga; Wisana, I Dewa Gede Hari; Pudji, Andjar; Luthfiyah, Sari; Athavale, Vijay Anant
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.v4i4.159

Abstract

Heart Rate Variability or heart rate in humans is used to monitor the function of the human heart. This research designed a tool to compare the results of heart rate readings using the discrete wavelet transform method to facilitate the detection of R peak. This can be obtained by evaluating and studying each decomposition result from level 1 to level 4 on Discrete Wavelet Transform processing using Haar mother wavelets. This study further used a raspberry pi 3B as the microcontroller of the data processor obtained from the ECG module. Based on the results obtained in this study, it can be concluded that in heart rate readings, level 2 decomposition details coefficient had the best value as data processing that helps the heart rate readings with an error value of 0.531% compared to HRV readings that obtained 0.005 using phantom tools and a standard deviation of 0.039. Furthermore, the advantage obtained from this tool is a good precision value in HRV and BPM readings. In reading the HRV of the respondent, it was found that each initial condition of the patient's HRV would be high due to the respondent's unstable condition. The disadvantage of this tool is a delay in running the program and no display in the form of a signal in real time.
Monitoring the Stability of Oxygen Flow Analyzer on Oxygen Station in the Hospital Rosida, Nur Khabibatul; Rahmawati, Triana; Wisana, I Dewa Gede Hari; Nosike, Maduka
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.v5i1.161

Abstract

In addition to benefits, oxygen therapy also has certain dangers and side effects. Hence, oxygen therapy must be given at the proper dose by monitoring the patient regularly and adjusting the oxygen flowmeter. The accuracy of flowmeter under standard conditions is guaranteed by manufacturer. Through time and use, the precision may change and the flow accuracy given in a hospital setting may different from the original value. Related to this matter, current research was carried out aiming to conduct further research on oxygen flow analyzer which focused on discussing the accuracy and stability of the oxygen flow sensor against the gold standard. The contribution of this study is to increase the range of oxygen flowrate measurement to 15 liters per minute (LPM). Furthermore, this research used Arduino Mega, while the gas flow sensor used was legris flow sensor. The measurement results were further displayed on TFT LCD equipped with SD Card data storage. The gas flowrate was regulated using a flowmeter (GEA). Meanwhile the comparison tools used Oxygen Analyzer and 1 m3 oxygen gas cylinder. At the testing stage, the sensor reading value on the module that appeared on the TFT LCD was compared with the resultsf a comparison tool with a measurement range of 1 LPM to 15 LPM 6 times at each point. The conclusion from these results is that the calibrator module has a relative error that is still within the allowable tolerance limit of ±10%.
QRS Detection on Heart Rate Variability Readings using Two Moving Average Methods Rizhky, Ayu Nissa Berlianri; Wisana, I Dewa Gede Hari; Pudji, Andjar; Des, Sima
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.v5i1.165

Abstract

Heart Rate Variability or the average deviation between heartbeats in humans is influenced by the autonomic nervous system control of heart function. Monitoring HRV is necessary to diagnose the underlying pathophysiology of hypertension, optimize treatment modalities for hypertensive patients with signs of autonomic dysfunction, and predict cardiovascular events in the heart. This study focused on providing an overview of QRS complex detection for heart rate variability or HRV reading using the Two Moving Average method in detecting heart in humans. In addition, current research also determine QRS complex detection for heart rate variability reading by adding a window size feature, then create a QRS Complex detection tool for HRV reading using the Two Moving Average method by adding a window size feature. Furthermore, another aim of this study is to know the FFT signal results in order to see the frequency of each ECG signal generated by the patient. In this study, the use of the Two Moving Average method or moving average makes it easier to find the R peak-to-peak signal, so the heartbeats reading is easier as well. In this study, QRS complex signal detection was performed using lead II pickups using the Two Moving Average method, which was used as a filter or attenuator of unsought signals such as P and T signals in ECG signals. In this case, this method is recommended for detecting patients with high P and T signal values. This was achieved by evaluating and studying each change in window size, an algorithm that uses an equation with two different window widths to generate signal features and detection thresholds, allowing it to adapt to various changes in QRS and noise levels.
ECG and NIBP Simulator in One Device Display on TFT Nextion Melinda, Cantika; Wisana, I Dewa Gede Hari; Pudji, Andjar; Triwiyanto, Triwiyanto
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.v5i3.179

Abstract

Accurate monitoring of NIBP (Non-Invasive Blood Pressure) parameters using vital sign monitors is crucial for patient care. Therefore, calibration of vital sign monitors is essential to ensure their safety and reliability. A vital sign simulator was developed in this study, integrating ECG and NIBP parameters with a TFT Nextion display. The aim is to calibrate ECG and NIBP readings on vital sign monitors. The system utilized the Arduino Mega 2560 as the central controller and the MPX5050GP sensor for NIBP measurement and motor pump control. The NIBP parameters were measured at two settings: 60/30 and 80/50. The results showed a maximum systolic error of 3.5% and a diastolic error of 5.6% for the NIBP setting of 80/50. The largest standard deviation value of 2.05 was observed at the NIBP setting of 60/30. The highest uncertainty value of 0.5 was also found in the NIBP 60/30 setting. The obtained data indicated stable module readings within the acceptable threshold for vital sign monitor calibration. The developed vital sign simulator offers a reliable means of calibrating NIBP parameters, enabling accurate blood pressure measurements. Further research and refinement can be conducted to enhance the system's precision and expand its capabilities for calibration of additional vital sign parameters. By ensuring accurate calibration, healthcare professionals can rely on vital sign monitors for effective patient monitoring and diagnosis.
Development of a Low-Cost and Efficient ECG devices with IIR Digital Filter Design Wisana, I Dewa Gede Hari; Nugraha, Priyambada Cahya; Rachman, Rizki Aulia
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 1 (2021): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i1.194

Abstract

Measurement of biosignals such as electrocardiograph has the interpretation of noise from other signals. The noise can interfere with the measurement of the heart signal and make the measurement inaccurate, so the purpose of this study is to make a 6-Lead Electrocardiogram module with an Arduino-Based Digital Filter. By using a digital filter. The contribution of this research is the use of digital filters to eliminate noise in electrocardiograph signals. This research uses Infinite Impulse Filter digital filters such as Butterworth, Chebyshev I, Chebyshev II, and Elliptic in order 2, 4, 6, 8, and 10. The study was conducted by providing input from the Function Generator on Arduino which has been applied digital filters with Frequency with 0.5Hz – 100Hz cut-off. The instrument is compared with a factory electrocardiograph. Filter measurements using 460 input data. Butterworth filter with the greatest emphasis on order 8 frequency 0.5Hz produces an emphasis of -5.74298158 dB and a frequency of 100Hz produces an emphasis of -5.93529424 dB. The Chebyshev I filter has the greatest emphasis on order 6 frequency 0.5Hz producing an emphasis of -3.27104076 dB and on order 8 frequency 100Hz producing an emphasis of -5.08730424 dB. Chebyshev II filter the biggest emphasis on the order of frequency 0.5Hz produces a suppression of -44,66011104 dB and 80Hz frequency produces a suppression of -37,3653957 dB. Elliptic filters the greatest emphasis on order 6 frequency 0.5Hz produces an emphasis on -1.55429354 dB and 100Hz frequency on order 8 produces an emphasis on -2.2849115 dB. The results of this study can be implemented on a 6-Lead ECG module to eliminate noise or interference when tapping ECG signals.
Low Cost Health Monitoring Sytem Based on Internet Of Things Using Email Notification Wisana, I Dewa Gede Hari; Utomo, Bedjo; Amrinsani, Farid; Purwanto, Era
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 2 (2021): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i2.202

Abstract

Monitoring activities are needed if there are symptoms of a disease that require quick action so that the patient's condition does not get worse, for that we need a system that can notify doctors so they can take action. The patient monitoring system in hospitals is generally still carried out conventionally, among others, nurses or doctors come to the patient's room to check on the progress of the patient's condition, this will be a problem, if the number of medical personnel and facilities is insufficient to monitor. Patients who need special attention for patient care, such as monitoring the patient's breathing rate. The use of the internet of things (IOT), as a device that can work without the help of people, can perform tasks and provide easier and real time data, so that they can access output directly. The purpose of this research is to design an inexpensive health monitoring tool based on the Internet of Things (Respiration Parameters) using a piezoelectric sensor and an ESP32 Wi-Fi module. From the results of the module design taken from 10 respondents, obtained that the average measurement high accuracy (17.76 + 0.61) and the average level of stability of the design has a magnitude of 0.4 so that it can be concluded that using a piezoelectric sensor in this series can obtain good accuracy. This the design can be used to monitor a person's respiration in real-time
Design a Low-Cost Digital Pressure Meter Equipped with Temperature and Humidity Parameters Utomo, Bedjo; Hariwisana, I Dewa Gede; Misra, Shubhrojit
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 2 (2021): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i2.204

Abstract

Calibration is a technical activity which consists of determining one or more properties and characteristics of a product, process or service according to a predetermined special procedure. The purpose of calibration is to ensure measurement results comply with national and international standards. The purpose of this study is to design two mode digital pressure meter (DPM) device equipped with a thermo-hygrometer and pressure in which the design is completed with a selection mode to determine the positive and negative pressure (vacuum) using MPX 5050GP sensor as a positive pressure sensor. In this design DHT 22 sensors is used to measure the humidity and temperature. To test the leak test this device is also equipped with timer. This design uses a 2.4 inch Nextion TFT LCD screen to display data. Data analysis was performed by comparing modul with standard tools. In the measurement process, Mercury tensimeter was carried out 6 times the data and the smallest results were 0 mmHg on the module and 0 mmHg on the standard tool and the largest was 298.0 mmHg on the module and 300 mmHg on the standard tool. Data were collected in a room with a temperature of 31̊C and humidity of 87%. Finally, this design is applicable for daily used for electromedical engineer to calibrate the sphygmomanometer in the hospitals
Measuring Respiration Rate Based on Android Shofiyah, Shofiyah; Wisana, I Dewa Gede Hari; Triwiyanto, Triwiyanto; Luthfiyah, Sari
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 1 (2019): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i1.237

Abstract

Abstract-Respiratory rate is the total number of breath or breathing cycle, which occurs every minute. Abnormal respiratory rate is a sensitive indicator for danger patients requiring medical treatment immediately. The objective of the study is to design a respiration rate monitor via an Android mobile phone. In this study, we used flex sensors to detect the respiration rate. The flex sensors were placed in the human stomach diaphragm which detects the changes in the human stomach diaphragm during breathing. The measurement results are displayed on the liquid crystal display (LCD) 2 x 16. The data will be sent via a Bluetooth connection to the android to display the values and graphs. The comparison between the design and standard showed that the maximum error is 4.69% while the minimum error is 1.52%. The average error for all measurement is 2.83%. It can be concluded that the tool wear is eligible because it is still below the minimum threshold of 10% error
Design a Monitoring Device for Heart-Attack Early Detection Based on Respiration Rate and Body Temperature Parameters Zahra, Isna Fatimatuz; Wisana, I Dewa Gede Hari; Nugraha, Priyambada Cahya; Hassaballah, Hayder J.
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 3 (2021): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i3.244

Abstract

Acute myocardial infarction, commonly referred to as a heart attack, is the most common cause of sudden death where a monitoring tool is needed that is equipped with a system that can notify doctors to take immediate action. The purpose of this study was to design a heart attack detection device through indicators of vital human signs. The contribution of this research is that the system works in real-time, has more parameters, uses wireless, and is equipped with a system to detect indications of a heart attack. In order for wireless monitoring to be carried out in real-time and supported by a detection system, this design uses a radio frequency module as data transmission and uses a warning system that is used for detection. Respiration rate was measured using the piezoelectric sensor, and body temperature was measured using the DS18B20 temperature sensor. Processing of sensor data is done with ESP32, which is displayed wirelessly by the HC-12 module on the PC. If an indication of a heart attack is detected in the parameter value, the tool will activate a notification on the PC. In every indication of a heart attack, it was found that this design can provide notification properly. The results showed that the largest respiratory error value was 4%, and the largest body temperature error value was 0.55%. The results of this study can be implemented in patients who have been diagnosed with heart attack disease so that it can facilitate monitoring the patient's condition
Co-Authors ., Sumber Achmad Rizal Amrinsani, Farid Andjar Pudji Anggraini, Navira Ariswati, Her Gumiwang Athavale, Vijay Anant Aulia Rahmawati Bambang Guruh Irianto Citra Mahaputri Des, Sima Edy Haryanto Endang Dian Setioningsih Endro Yulianto Era Purwanto Farid Amrinsani Ferry Kriswandana Firda Ryan Nur Fadhilah Furi Kristya Ginarsih, Yuni Gumiwang Ariswati, Her Hassaballah, Hayder J. Hayder J Hassaballah Her Gumiwang Ariswati Hilmi Yumni I Dewa Made Wirayuda Ichwan Syahrul Bahtiar Imam Sarwo Indrato, Tri Bowo Indriatie Ira Puspitasari Irwan Sulistio Isna Fatimatuz Zahra Isnanto Juliana Christyaningsih Kumbhare, Ashish Levana Forra Wakidi Liliek Soetjiatie Lusiana Luthfi Rusyadi Luthfiyah, Sari Luthfiyah, Sari Mahardika, Melva Melinda, Cantika MINARTI Misra, Shubhrojit Mohseena Thaseen Muhammad Fuad Nurillah Musyahadah Arum Pertiwi Nopriyandi, Nopriyandi Nosike, Maduka Nugraha, Priyambada Cahya Pandu Arsy Filonanda Pawana, I Putu Alit Priyambada C. Nugraha Priyambada Cahya Nugraha PRIYAMBADA CAHYA NUGRAHA Priyambada Cahya Nugraha Priyambada Cahya Nugraha Priyambada Cahya Nugraha Pudji, Andjar Rahmawati, Triana Rathod, Yagnik Retno Sasongko Wati Ridha Makruf, Muhammad Rizhky, Ayu Nissa Berlianri Rizki Aulia Rachman Rizki Aulia Rachman, Rizki Aulia Rokhmalia, Fitri Rosida, Nur Khabibatul Sari Luthfiyah Sari, Ira Rahayu Tiyar Sasivimon Sukaphat Setiawan, Singgih Yudha Setioningsih, Endang Dian setyawanto, nanda dwi Shofiyah Shofiyah Shofiyah Shofiyah Shubhrojit Misra Siti Fathul Jannah Siti Mar'atus Slamet Wardoyo SRI UTAMI Suhartini . Sulistyowati, Dwi Wahyu Wulan Taufiqurrahman Triana Rahmawati Triwiyanto Triwiyanto Ulil Albhi Ramadhani Utomo, Bedjo Veriko Yonanto Wihantara, Arga Zahra, Isna Fatimatuz