cover
Contact Name
Triwiyanto
Contact Email
triwiyanto123@gmail.com
Phone
+628155126883
Journal Mail Official
editorial.ijeeemi@gmail.com
Editorial Address
Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya Jl. Pucang Jajar Timur No. 10, Surabaya
Location
Kota surabaya,
Jawa timur
INDONESIA
Indonesian Journal of electronics, electromedical engineering, and medical informatics
ISSN : -     EISSN : 26568624     DOI : https://doi.org/10.35882/ijeeemi
The Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics which covers three (3) majors areas of research that includes 1) Electronics, 2) Biomedical Engineering, and 3) Medical Informatics (emphasize on intelegent system design). Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two reviewers.
Articles 11 Documents
Search results for , issue "Vol 5 No 3 (2023): August" : 11 Documents clear
Prototype of Automatic Control System for Water Temperature and Acidity in Ornamental Fish Aquarium Based on Internet of Things (IOT) Adi Hermansyah; Tri Wanda Septian; Aditya Putra Perdana P; Mgs Muhammad Faris
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.v5i3.272

Abstract

The prototype application of an automatic control system in an Internet Of Things-based aquarium using DS18B20 and PH-4502C temperature sensors using the NodeMCU ESP 8266 microcontroller is a system that can regulate the temperature and pH of water automatically which is applied to a small aquarium. This technological advancement is very helpful for people who have busy daily lives who do not have time or cannot check the condition of the fish in their aquarium. To see the condition of ornamental fish aquarium can be checked from mobile phone through blynk application. Monitoring using the blynk application can be done anywhere as long as the device is always connected to the internet.
Analysis of Histogram and Grayscale on Chest X-Ray in Lung Cancer Using Image-J Fani Susanto; Hernastiti Sedya Utami
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.v5i3.280

Abstract

Posteranterior (PA) chest radiographic examination is a support in screening for the diagnosis of lung cancer. Computed radiography (CR) modality can produce chest images quickly, optimally and can be processed as needed. However, so far radiologists interpret images only by visual assessment, so the results are very subjective. Therefore digital medical image processing can be done by looking at the histogram and gray scale values to increase the accuracy of enforcing patient diagnoses. This study aims to analyze the comparison of histograms and gray degree values on CR chest images between normal patients and lung cancer patients. The study was conducted using 30 chest images consisting of normal and lung cancer patient groups with 15 images each. All images are calculated grayscale and display histogram graphics with the Image-J application and statistically analyzed using the Independent T-Test. The results show that there is a difference in grayscale values between normal chest images and lung cancer (p<0.001). The grayscale and histogram values on lung cancer chest images ( 103.2908 + 6.119 ) are higher and tend to the right compared to the grayscale and histogram values on normal chest images ( 64.5848 + 3.28) . Histogram and grayscale values add objective image interpretation in diagnosing lung cancer.
Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Computer Monitoring) Fransiska Ima Setia Ningsih; Bambang Guruh Irianto; Lamidi Lamidi; Mohanad Abdulhamid
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.v5i3.283

Abstract

Premature infants, with a gestational age of 37 weeks or less and weighing less than 2500 grams, face challenges in adapting to the outside world due to the underdeveloped state of their organ systems. Special care is essential to support their growth and development, including maintaining optimal temperature, humidity, and oxygen levels similar to those experienced in the mother's womb. Baby incubators play a crucial role in providing these conditions. This study aims to develop a convenient monitoring tool for midwives and healthcare workers responsible for multiple baby incubators. The tool operates independently and is compatible with various brands of baby incubators. Leveraging an IoT system, it utilizes ESP32 and Raspberry Pi Zero W modules for data transmission. The tool incorporates a DS18B20 sensor for monitoring skin temperature and a DHT22 sensor for monitoring the temperature inside the incubator chamber. Using a pre-experimental design with an after-only research design, the tool's measurements are compared against an incubator analyzer. The study reveals that the developed module still exhibits some measurement errors. However, despite these limitations, the research is expected to greatly assist medical personnel in simultaneously monitoring multiple baby incubators. Keywords : Premature infants, Baby incubators, IoT, Temperature, ESP32, Raspberry Pi Zero W
PID Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature Clarissa Grace Santoso; Torib Hamzah; Syaifudin Syaifudin; Muhammad Umer Farooq Mujahid
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.v5i3.286

Abstract

Body temperature in humans varies greatly depending on the location where the reading is taken. Normal core body temperature in humans is maintained by the hypothalamus and usually ranges from 36.5°C to 37.5°C. One of the causes of failure in the blood transfusion process can cause death in humans, one of the factors is the blood temperature that is too high or too low during the blood transfusion process can cause the blood to become frozen or damaged, therefore the purpose of this tool is to lower the blood temperature admission to the patient can be achieved so that there is no reduction in temperature or decrease in temperature and so that the blood is not allowed to get too hot because it can cause damage to red blood cells. This study uses the DS18B20 Sensor to control the heater with PID and Fuzzy controls, the MLX90614 Sensor to set the temperature according to the patient's body temperature and the Optocoupler Sensor as an indicator when fluids run out. When using the PID control with Kp = 4, Ki = 1, and Kd = 4, a faster response time is obtained and there is an overshoot with the highest error value of 0.77 and an average error value of 0.02. The results of the study are displayed on the TFT Nextion. From the results of the research above, it can be concluded that using PID control the response time is faster, but there are drawbacks to high overshoot.
Anc Bed For Preeclamsi Early Detection Using Web System Fiqih Fahrur Ramadhan; Andjar Pudji; Muhammad Ridha Mak’ruf; Shubhrojit Misra
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.v5i3.288

Abstract

One of the causes of the high maternal mortality rate is dominated by three factors, one of which is preeclampsia. Preeclampsia is a condition in which the mother experiences hypertension and changes in BMI (Body Mass Index) at the 20th week of gestation. Preeclampsia indications in pregnant women are related to examinations, namely Antenatal care (ANC). Antenatal care is one of the prenatal checks with certain standards. Pregnant women need extra antenatal supervision from health workers. Preeclampsia detection carried out in health care facilities is currently considered to be still not optimal so that there are still many cases of preeclampsia that are not handled properly. One of the efforts that can be made to improve services for pregnant women is with a web-based ANC examination. The purpose of this study is to analyze NIBP and BMI data sent and received by IoT media so that they are useful for the diagnostic process. The contribution of this research is knowing the response of NIBP and BMI data sent and received via IoT media. The procedure for achieving this goal is with the MPX5050 sensor and Loadcell whose output will be processed and displayed on a web page. From this study it can be concluded that the sending of IoT-based NIBP and IMT data affects lost data or delays received. The findings from this study are expected to be developed in further research. So that it can be said that the use of the ESP32 module as the delivery of ANC BED inspection results resulted in no loss of data found in sending ANC inspection results with 100% data results being sent without any data loss and delay with an average of 2 seconds.
Utilization of Webcam Cameras as X-Ray Image Capture (kV Settings and Shutter Sensors) Ni Made Wagiswari Dwara; Muhammad Ridha Mak’ruf; Tri Bowo Indrato
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.v5i3.290

Abstract

The result of x-ray imagery is generally in the form of film sheets. To obtain an image, the film must pass through the process of processing with chemicals. Departing from these problems, efforts were made to develop digital x-ray detectors using much cheaper devices. By using voltage variations and also sensors that aim to find out the difference in the quality of the resulting image. The contribution of this study is that the system can display negative image results from webcam camera captures that have previously passed the image processing process with the Matrix Laboratory (MATLAB) Application. The measurement ranges used are 60, 65, and 70 kV. with a set mA of 25mA, a duration of irradiation of 1 second, and a moderate intensity of illumination light. From the measurement results, it shows that the X-ray Image Capture Tool can be compared with the image results from the Philip brand DR with the MSE value obtained, which is 34.8775 with parameters Phototransistor BPT1331, 70kV, and 25mA. And the lowest MSE value is 61.7615 with parameters LDR, 66kV, 25mA. The results of this study indicate that the tool can be used to capture X-rays.
ECG and NIBP Simulators in One Device Display on TFT Nextion Cantika Melinda; I Dewa Gede Hari Wisana; Andjar Pudji; Triwiyanto Triwiyanto
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.v5i3.293

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. The purpose of this study is a vital sign simulator was developed, integrating ECG and NIBP parameters with a TFT Nextion display, 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.
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.
Accuracy of Infrared Photodiode Sensors at The Flowrate Measurement in Infusion Device Analyzer with 2 Channel TFT Display Wafiq Nur Azizah; Triana Rahmawati; Syaifudin Syaifudin
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.v5i3.306

Abstract

The use of infusion is crucial for patient healing. Infusion refers to a fluid that consists of drugs, nutrients, and hydration delivered continuously into the patient's bloodstream over a specific period. One of the types of infusion devices is the infusion pump and syringe pump. These devices play a vital role in accurately and precisely controlling the volume or flow rate of fluids. However, continuous usage of these devices can sometimes result in inaccurate measurements, which can affect their overall accuracy. The accuracy of these devices is crucial for proper dosage administration to patients, particularly in critical situations. Therefore, it is necessary to periodically calibrate healthcare devices, at least once a year, as specified in Ministry of Health Regulation No. 54 of 2015. Calibration is an activity performed to determine the true value of a device. The objective of this study is to develop an Infusion Device Analyzer (IDA) with a TFT LCD display that showcases graphical representations of flow rate parameters. By analyzing the calculation of flow rate values using Infrared Photodiode sensors, the stability of the flow rate graph can be observed on a 7-inch TFT LCD display. The measurement involved the use of two different brands of syringe pumps and two different brands of infusion pumps. The results were presented in real-time on the 7-inch TFT LCD display, both in graphical and numerical formats. Additionally, the data was transmitted via Bluetooth to a PC, allowing the graph to be simultaneously displayed in a Delphi program.The measurement results revealed performance errors when using the Terumo Syringe Pump with Terumo syringes in Channel 1, with values of 0.45% (10 ml/h), 0.72% (50 ml/h), and 0.40% (100 ml/h). In Channel 2, the errors were 0.32% (10 ml/h), 0.40% (50 ml/h), and 0.32% (100 ml/h). When using the B-Braun Syringe Pump with B-Braun syringes, Channel 1 exhibited errors of 0.45% (10 ml/h), 0.7% (50 ml/h), and 0.85% (100 ml/h), while Channel 2 had errors of 0.8% (10 ml/h), 0.3% (50 ml/h), and 1% (100 ml/h). In the case of the Terumo Infusion Pump with Terumo Infusion Sets, Channel 1 showed errors of 0.4% (10 ml/h), 0.5% (50 ml/h), and 0.45% (100 ml/h), and Channel 2 exhibited errors of 0.32% (10 ml/h), 0.4% (50 ml/h), and 0.72% (100 ml/h). Lastly, when using the B-Braun Infusion Pump with B-Braun Infusion Sets, Channel 1 had errors of 0.72% (10 ml/h), 1% (50 ml/h), and 1,2% (100 ml/h), while Channel 2 displayed errors of 0.8% (10 ml/h), 0.72% (50 ml/h), and 0,4% (100 ml/h).INDEX TERMS Infrared Photodiode Sensor, Calibration, Real Time, Flow Rate.
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.

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