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INDONESIA
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : -     EISSN : 26568624     DOI : https://doi.org/10.35882/ijeeemi
Core Subject : Health, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) publishes peer-reviewed, original research and review articles in an open-access format. Accepted articles span the full extent of the Electronics, Biomedical, and Medical Informatics. IJEEEMI seeks to be the world’s premier open-access outlet for academic research. As such, unlike traditional journals, IJEEEMI does not limit content due to page budgets or thematic significance. Rather, IJEEEMI evaluates the scientific and research methods of each article for validity and accepts articles solely on the basis of the research. Likewise, by not restricting papers to a narrow discipline, IJEEEMI facilitates the discovery of the connections between papers, whether within or between disciplines. The scope of the IJEEEMI, covers: Electronics: Intelligent Systems, Neural Networks, Machine Learning, Fuzzy Systems, Digital Signal Processing, Image Processing, Electromedical: Biomedical Signal Processing and Control, Artificial intelligence in biomedical imaging, Machine learning and Pattern Recognition in a biomedical signal, Medical Diagnostic Instrumentation, Laboratorium Instrumentation, Medical Calibrator Design. Medical Informatics: Intelligent Biomedical Informatics, Computer-aided medical decision support systems using heuristic, Educational computer-based programs pertaining to medical informatics
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 2 (2019): November" : 5 Documents clear
Baby Incubator Monitoring Center for Incubator Temperature and Skin Temperature using WiFi Network Nuristadarro, Nuristadarro; Hamzah, Torib; Lamidi, Lamidi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.251

Abstract

Premature infants with birth age less than 38 weeks who have a higher risk of death require continuous monitoring. Therefore, a temperature monitoring system is needed in the incubator. So the purpose of this research is to develop a baby incubator monitoring system that still uses the manual method to be faster and easier. This module has a wireless system and uses a Wi-Fi network for data transmission. By using several ESP32 modules assembled into a central system, where the data obtained from monitoring skin temperature from the DS18B20 sensor and incubator temperature monitoring data from the DHT22 sensor will be processed by the ESP32 which functions as a client and collected at one central point of the ESP32 which has been functioned as a server using the wifi network as data transmission. then the data collected on the server will be displayed on the nextion TFT display. Based on the overall measurement results using 2 baby incubators, the highest error value is 1.387% for the incubator temperature parameter and 3.911% for the skin temperature parameter. The results showed that the module that was made still contained errors in each measurement. The results of this study can be implemented to make it easier for nurses to monitor premature babies easily and quickly
Defibrillator with Monophasic and Biphasic Fibrillation Signal Wijaya, I Gusti Bagus Aditya; Wijaya, Aditya; Yulianto, Endro; Kholiq, Abd
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.252

Abstract

Lack of knowledge about functions, working methods, and safety can pose a big risk (death). Defibrillators are electronic devices that flow the shock electrical signal (pulse) to the heart muscle to maintain myocardial depolarization that is experiencing cardiac fibrillation (ventricular fibrillation or atrial fibrillation). The purpose of this study is make a defibrillator as a learning material so that anyone can have sufficient knowledge about the working principle and function of the defibrillator tool. This defibrillator is equipped with two wave selections namely monophasic and biphasic with asynchronous and synchronous modes, the energy provided ranges from 10-50 joules with use on tools 10, 20, 30, 50 joules. The energy will be flowed to the patient by pressing the Discharge button on Paddle which equivalently is adapted to humans. Energy disposal is controlled by a driver then the relay will work alternately from the first condensator then the second condensator to Paddle. Energy testing is done by 10 times using a defibrillator analyzer in a predetermined test point, the results of the monofacic wave measurement obtained by the error value of each setting with the smallest value of 0.0024% and the largest error value of 0.023%. To produce energy (joule) that appropriate capacitor is needed with real value. Bifasic waves cannot be tested because the defibrillator analyzer measuring instrument cannot detect the energy value (joule) capacitor that has been delivered.
Electrocardiogram 12 Lead in Transverse Plane Based on Computer Octantri, YB. Rischa Via; Ariswati, Her Gumiwang; Syaifudin, Syaifudin
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.253

Abstract

An electrocardiogram (ECG) is a graph produced by an electrocardiograph to detect heart abnormalities by measuring the electrical activity produced by the heart. Heart disease currently represents 16% of total deaths from all causes. Based on data from the Basic Health Research (Riskesdas) in 2018, the incidence of heart disease is increasing from year to year. At least 15 out of 1000 people, or about 2,784,064 individuals in Indonesia suffer from heart disease. The purpose of this research is to make a 12 lead electrocardiogram (ECG) PC based with storage (transverse plane) to make it easier for users to see the condition of heart signals. The contribution of this research is that devices can display heart signals on a computer and the results can be saved in the form of images and excel. This study used a pre-experimental method. The ECG signal is obtained from the phantom which is connected using an ECG cable. The results of the leads are in the form of heart signals and BPM which will be processed on the microcontroller and then the results will be displayed on a computer and can be saved. Measurement of the BPM value using Phantom on V2 obtained an error value of 0.25% for 120 BPM, 0.125% for 240 BPM. The maximum limit in the BPM error tolerance is ±5%. The results showed that the system as a whole worked well. The shape of the V2 signal generated by the module is the same as the manufacturer's ECG.
The Impact of Using Digital Filter and Analog Filter on EMG Signal Setioningsih, Endang Dian
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.254

Abstract

Many cases of accidents which resulted in humans having to surgery to save them, then performend muscle therapy to help the patient’s recovery after going through the post-surgery. This therapy has a purpose, so that the patient’s body is expected to return to normal. An exoskeleton is a tool like an additional clothing that aims not only to protect, but also to increase the wearer's abilities. Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. The purpose of this study was to analyze the differences in the use of analog and digital filters on EMG, as well as the effect on the exoskeleton simulation. The method used in the main design consists of the myoware module, notch circuit, low pass filter, arduino uno, DAC module, teraterm software, and matlab. The intercepted signal is taken from the biceps using a disposable electrode (AG/AGCL.). The EMG signal tapped by the myoware module will continue to another circuit, then recorded on the Teraterm software, and analyzed in MATLAB. The voltage value on the analog filter is 1.541 Volt during relaxation and 2.086 Volt during contraction, while the digital filter that has passed through the DAC has a value of 41.8 mVolt during relaxation and 269.1 mVolt during contraction. The results of this study obtained that digital and analog filter values ​​have an average difference of 5 to 30. The conclusion of this research tool can detect changes in the use of analog and digital filters, in the future research can be developed by comparing other types of digital filters along with replacement to wireless systems. The benefit or purpose of this research is as a simulation of exoskeleton skeletal motion and can see the difference between the use of digital and analog filters
Use Chest Vibrator to Prevent Pulmonary Infection in Patients with COPD Luthfiyah, Sari; Utomo, Bedjo; Ariswati, Her Gumiwang
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 2 (2019): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i2.255

Abstract

Chest infection is an infection that affects your lungs, either in the major respiratory tract (bronchitis) or in small air sacs (pneumonia). There is an accumulation of pus and liquid (mucus), and the respiratory tract becomes swollen, making breathing difficult. Chronic obstructive pulmonary disease (COPD) is a serious cause of death globally. This disease is characterized by episodes of acute exacerbations or aggravation that are superimposed upon a gradual decrease in pulmonary function. The study developed a device for vibratory techniques in chest physiotherapy. Vibration is a pressure applied to the chest during exhalation to move the secret into the large respiratory tract. Measurements of the mechanical impedance of the respiratory system in frequencies from about 5 Hz to about 70 Hz in the higher frequency range should be evaluated on the basis of the lung model. In this device, using frequencies that are often used in the field: 30, 40, 50 Hz and a timer of 3 to 5 minutes. This device uses a 12V DC motor as a vibration medium that will be connected to the engine inside the paddle. It uses IC NE 555 as an important component of the conductor circuit. This module uses an LCD screen of 16x2 characters as screen. The result was found that by using IC NE 555 as an important driver in showing acceptable system accuracy, only a minimum error value of ± 0.008% and a maximum error value of ± 0.02%. The advantage of this module is that it is equipped with a 3-5 minutes timer so that it can provide efficient therapy according to the time needed and is equipped with an LCD display to make it easier to observe the time

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