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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. 2 No. 3 (2020): November" : 5 Documents clear
Peak Flow Meter with Measurement Analysis Anisa, Anisa
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i3.217

Abstract

The Peak flow meter is a device used to measure the amount of airflow in the human airway or often referred to as PFR (Peak Flow Rate). Peak Flow Rate (PFR) measurement is a simple and reliable way to detect airway obstruction. PFR measurement is a simple, non-invasive, fast and economic method to assess the strength and speed of expiration in L / min, through maximum expiration of capacity total lung. The results of peak flow data can illustrate early warning signs for an illness that in some cases may show a decrease in lung function 1-3 days before other respiratory symptoms become apparent. This module is designed using MPX5100GP sensor. This sensor has a pressure range of 0-100 Kpa. The Nature module is also equipped with data storage facilities using an SD Card so that the measurement data can be processed using Ms. Excel to find out graph data for further diagnostic purposes. The inspection results can be directly viewed on the display and also automatically stored in the SD Card storage that has been available. This module has the highest error rate of 4.41% and the lowest error value of 0.42% compared to the original device. From the data collection that has been done, it can be concluded that this module can be used for the inspection process.
Improving the Effectiveness of Automatic Pure Tone Audiometer with Audiogram and Patient Diagnosis Rahmawati, Aulia
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i3.218

Abstract

Conventional Audiometer testing using manual mode takes quite a long time for one patient, and the audiologist must accompany until the test is complete. The purpose of this research is to design a pure tone audiometer with an automatic mode using Arduino microcontrollers. Contributions from this research is a system of automatic running to improve health services. The Hughson Westlake method is used for automatic mode. The method is prepared in the Arduino software and uses the CD4066 digital switch to regulate the frequency and intensity given to the patient. As for the frequency generator using XR2206, the raised frequencies are 250, 500, 1000, 2000, 4000, 8000 Hz. Then the patient will press the interrupt button if listening to sound, and the result will be displayed to the Audiogram on Android. Patient diagnostic results can be seen when testing the entire frequency has been completed. At frequency 250 Hz obtained error value 0.13, at frequency 500 Hz obtained error value 4.37, at frequency 1000 Hz obtained error value 39.5, at the frequency of 2000 Hz obtained error value 24.67, at the frequency of 4000 Hz obtained error value 67.33. And at the frequency of 8000 Hz obtained error value 32.33. The results of this study showed that the highest error was 3.95% at 1000Hz frequency and the smallest error was 0.05% at 250Hz frequency. The results of this study can be implemented in conventional audiometer system to accelerate testing time to improve service and facilitate audiologist during hearing testing
Development Portable Spirometer using MPXV7002DP Sensor and TFT Display for Lung Disease Detection Kharis, Lizarazu Maulidil Li
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i3.220

Abstract

Chronic obstructive pulmonary disease (COPD) is a disease whose prevalence tends to increase annually, with the World Health Organization (WHO) data predicting in 2020 the disease is the cause of the third-highest mortality worldwide. The assessment of the recurrence of COPD patients is very important, as it will accelerate the decline of lung function and health status. The purpose of this research is to design a spirometer by utilizing the MPXV7002DP sensor and equipped with a graphical display as well as lung health status on the Nextion TFT LCD. A portable Spirometer design has been done using the MPXV7002DP pressure sensor out as a transducer with a display on the Nextion TFT LCD. The design aims to determine the health of lung function by knowing the volume of lung Forced Vital Capacity (FVC), Forced Expired Volume in one second (FEV1), and Vital Capacity (VC). The working principle of this tool is to process the pressure from the results of the user blowing to the sensor through a mouthpiece which is designed based on Venturimeter law, the data will be processed by the Arduino microcontroller 2560 to be displayed on the LCD TFT and Nextion stored in SD card memory. The result of module validation data against a Spirometer 3L calibrator Benchmarking tool was obtained 1.58% VC error. The value is still below the 5% error tolerance limit so that the VC parameters in the secure module is used
Utilization of Power Setting in Monopolar Electrosurgery Unit With Additional Blend Modes Setiawan, Muhammad Roni
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i3.221

Abstract

Electrosurgery unit has the purpose of damaging certain body tissues by heating the tissue. In this study there are several modes and also power selection. The contribution of this research is to design the power management and also the addition of several modes for the surgical process. Electrosurgery Unit involves the use of IC CMOS 4069 as a frequency generator. The frequency output is set at 250 KHz and then passed on to the pulse regulator circuit and controlled by using Arduino and then forwarded to the inverter circuit which functions to increase the voltage and output in the form of power. Modules are calibrated using ESU Analyzer. This module is equipped with a selection of LOW, MEDIUM, and HIGH power. And also there are some additional modes including Blend 1 and Blend 2. After the measurement is carried out, the voltage values ​​obtained at the setting of low, medium high, on the inverter input with a value on Blend 1 mode low 80 V with an error of 0.84%, Medium 90 V with error 0.84%, High 104 V with an error of 0.81%, in Blend 2 mode low 84 V with an error of 0.83%, Medium 86 V with a error of 0.85%, High 105 V with an error of 0.81%, the Cutting mode is low 162 V with an error of 2.88%, medium 172 V with an error of 3.03%, High 192 V with an error of 2.86%. The measurement shows an error of less than 1% for Blend 1 and Blend 2 modes while cutting is less than 3%. The results of this study can be implemented in order to minimize errors due to lack of power settings and mode selection during surgery
Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation Indriani, Selvi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 3 (2020): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i3.223

Abstract

Respiratory problems can cause asthma, acute asthma attacks are very difficult to predict because they often occur suddenly and asthma can also cause death in sufferers because the breath can suddenly stop. The purpose of this research is to design an asthma detection device through indicators of heart rate and oxygen saturation. The contribution of this study is to categorize the patient's condition by looking at the value of the heartbeat and oxygen saturation so that when asthma occurs the message of a location will be sent. To measure heart rate and oxygen saturation, a Nellcor finger sensor is placed on the patient's index finger. The finger sensor enters the signal conditioning circuit, then sent to the microcontroller to be processed to produce a heart rate value and the percentage of oxygen saturation. The testing of this tool is done by comparing the module with a standard measuring instrument that produces the highest value of oxygen saturation error which is 1.715% and the largest value of heart rate error is 3.548%. The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%. The results of this study can be implemented in patients who have been diagnosed with asthma so that it can facilitate the family in monitoring the patient's condition

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