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Phototherapy Radiometer with AS7262 Sensor Ichwan Syahrul Bahtiar; Andjar Pudji; I Dewa Gede Hari Wisana
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v1i1.8

Abstract

The phototherapy is a device used in hyperbilirubinemia therapy by using blue light radiation with ranges between 425nm-475nm. The effectiveness of hyperbilirubinemia therapy depends on the amount of energy emitted by light which expressed in μW/cm2. The purpose of this study is to develop a low-cost and high accuracy Phototherapy radiometer. Measurement of blue light irradiance using the AS7262 sensor which can measure the irradiance of visible light with a wavelength of 450nm, 500nm, 550nm, 570nm, 600nm, 650nm with relative responsiveness of 1 time at each wavelength. SD card memory is used to save measurement data of irradiance so that it can be processed later. Based on the blue light irradiance data collected the smallest error value is 0,40% at a distance of 10cm while the biggest error value is 9,01% at a distance of 30cm. After testing the entire system, the device can be used according to its function and purpose.
Fetal Doppler Simulator Based on Arduino Alfina Nadhirotussolikah; Andjar Pudji; Muhammad Ridha Mak'ruf
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 1 (2020): 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.v2i1.6

Abstract

Heart rate of the fetal is the main indicator of the fetal life in the womb. Monitoring fetal heart rate can’t be done, so a tool is needed to monitoring fetal heart rate. Fetal heart rate can be monitored with fetal doppler. To test the accuracy of Fetal Doppler, a calibration is needed with the Fetal Doppler Simulator. This tool will simulate the fetal heart rate with a BPM value that can be adjusted according to the settings on the device. This module using Arduino as the brain system. On the module there is a selection of BPM from 60 to 240 BPM with an increase of 30 BPM displayed on 2x16 character LCDs. Based on BPM measurement 6 times using Fetal Doppler, the measurement error in a BPM of 60 to BPM 210 is 0%, while at BPM 240 an error is 0.2%. This module has been compared with the standard devices (Fetal Simulator Brand Fluke Biomedical Ps320), the results of the comparison modules with the comparison tool has the same error value in 240 BPM is 0.2% and in BPM 210 there is a difference in the result of module Fetal Doppler reading of 210 BPM while in the comparison tool is 209 BPM. Of the measurement data and analysis, it can be concluded that the tool can work and the tool has the same accuracy as the standard device.
Development of Incubator Analyzer Using Personal Computer Equiped With Measurement Certificate Laily Nurrohmah; Dwi Herry Andayani; Andjar Pudji
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.6

Abstract

Baby incubators are used for premature babies when babies are born prematurely. In order to ensure the accuracy of medical devices, periodic tests and controls are needed, which aim to reduce the risk of measurement. The baby incubator can be tested with a calibration device that is used to calibrate temperature, noise, humidity, and airflow so that the conditions remain stable and within normal limits. The purpose of this study is to develop a calibrator device based on a computer to measure noise and airflow parameters. The standard incubator analyzer is not equipped with a computer interfacing. Furthermore, it needs data processing via Excel. Therefore, in this study, an incubator analyzer device is proposed, which has four parameters to measure, namely, temperature, noise, humidity, and airflow. The main part of this design is the Atmega328 Microcontroller, in which the function is used as a data processor, equipped with Bluetooth communication and data storage. Furthermore, the output will be displayed in a computer unit. In this study, the noise was measured using analog sound Sensor V2; and have the most significant error at 37oC setting temperature that is equal to 0.17%. At the same time, the airflow parameter measured using an airflow sensor, type D6F-V3A01. Based on the measurement, the error was 0.5% at a temperature setting of 36oC and 37oC. The use of displays on personal computers and data processing using Excel allows users to monitor calibration and data processing. The feasibility of this device is proven. Therefore, this design can be used for baby incubator calibration.
Design a Vital Sign Monitor for Body Temperature (Axilla) and Oxymetry Parameters Mohamad Adam Firdaus; Andjar Pudji; Muhammad Ridha Mak'ruf
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 2 (2020): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v2i2.4

Abstract

In most hospitals, nurses routinely calculate and document primary vital signs for all patients 2-3 times per day to get information. Vital sign monitor is made for medical devices that can diagnose patients who need intensive care to determine patient needs. Some parameters were used oxygen saturation (SPO2), and body temperature. Therefore, the purpose of this study is to develop a vital sign monitor to record body temperature and oxygen saturation. This makes additional tasks are very important to be evaluated for medical staff and equipment manufacturers. This evaluation is needed to get the real condition of the patient. With the large number of patients who need evaluation, it is not possible to see the condition of some medical workers who work. This medical service is expected to reduce the workload of nurses with doctors and improve the quality of patient care. The great demand for these devices, mostly in intensive hospital rooms, is the basis for researching the output of data from multiple vital sensor monitor monitors to obtain accurate and precise outputs. The output of the two sensors is processed by Arduino Mega2560 and requested on a 5 inch TFT LCD in the form of body temperature and oxygen saturation. Comparison of module results with standard measuring instruments calibrated to reference this module is used for accurate and precise results. According to the assessment and reversing tool data with the dressing tool, the highest error value is 1%. With a maximum permitted permission of 5%.
Analysis Of Baby Incubator Humidity Based PID with Kangaroo Mode Singgih Yudha Setiawan; Dwi Herry Andayani; Andjar Pudji; Liliek Soetjiatie; Alievya Brillianty Anugrah Kusuma
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 1 (2022): 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.v4i1.6

Abstract

The main factor that affects the parameters of the workings of humidity in the baby incubator is the sensor used to read the humidity in the room. The purpose of this study is to analyze the humidity sensor in the baby incubator using 2 humidity sensors (DHT11 and DHT22) in the different location. The manufacture of this device used an after-only design, with a comparison device of INCU Analyzer, DHT11, and DHT22 sensors. Based on the measurement, DHT11 produced a value of 46%, while DHT22 produced a value of 55.45% with BPFK standards of 50%-70%. Based on the results of measurements using the INCU Analyzer, the average error value for DHT11 is 16.05%, while DHT22 is 3.47%. Therefore, the results showed that the DHT22 sensor was more accurate to be used in baby incubators because the measurement results were under BPFK standards and produced a low error value. This can be further implemented in a baby incubator making to improve the health and safety of the babies
Electrocardiograph Simulator Berbasis Mikrokontroler I Dewa Gede Budi Whinangun; Andjar Pudji; M. Ridha Makruf; Bedjo Utomo; Sari Luthfiyah
Jurnal Teknokes Vol 12 No 1 (2019): April
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (895.508 KB)

Abstract

Electrocardiograph (ECG) menjadi salah satu ilmu diagnostik yang sering dipelajari dalam mendiagnosis dan untuk terapi penyakit jantung. Mengingat pentingnya alat ECG recorder, maka diperlukan pengecekan fungsi alat ECG recorder yaitu dengan cara melakukan prosedur kalibrasi alat menggunakan Phantom ECG. Tujuan dari penelitian ini adalah membuat ECG Simulator untuk alat ECG 12 channel yang meliputi lead I, lead II, lead III, aVR, aVF, aVL, V1, V2, V3, V4, V5, dan V6 dan melengkapinya dengan selektor pemilihan sensitivitas serta menggunakan. Metode pembentukan sinyal jantung menggunakan DAC tipe MCP 4921 dengan mikrokontroler Atmega2560 dan untuk tampilan pengaturanya menggunakan LCD Karakter 2x16. Berdasarkan hasil pengukuran didapat nilai tingkat kesalahan sebesar 0.187% sensitivitas 0.5mV dan 0.327% sensitivitas 1.0mV pada setting BPM 30, didapat nilai tingkat kesalahan sebesar 1.173% sensitivitas 0.5mV dan 1.060% sensitivitas 1.0mV pada setting BPM 60, didapat nilai tingkat kesalahan sebesar 0.797% sensitivitas 0.5mV dan 0.739% sensitivita 1.0mV pada setting BPM 120, didapat nilai tingkat kesalahan sebesar 0.269% sensitivitas 0.5mV dan 0.381% sensitivitas 1.0mV pada setting BPM 180 dan 0.010% sensitivitas 0.5mV dan 0.616% sensitivitas 1.0mV pada setting BPM 240. Modul ECG Simulator dilengkapi dengan fitur charge baterai dan biaya pembuatan yang lebih murah dibandingkan dengan alat pabrikan.
Bed For Measuring Ebv and CO With TFT Display Equipped With Data Storage (SpO2 and BPM) Ahmad Zaky Ma'arif; Priyambada Cahya Nugraha; Andjar Pudji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 1 (2020): February
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/jeeemi.v2i1.2

Abstract

Abstract— BED for measuring EBV and CO are the tools used to monitor the condition of preoperative patients. The Estimation Blood Volume (EBV) is a calculation to determine the approximate volume of blood in the human body and CO is the amount of blood volume pumped by the heart per minute the calculation of EBV used uses weight, height and gender. CO calculations utilize BPM multiplied by standard Stroke Volume. In this section the author discusses oxygen saturation in the blood using different wavelengths of red LED light and infrared captured by the photodiode. The author also discusses BPM to monitor minute heart rates. The design of this measuring instrument uses MAX30100 sensor, Arduino Mega , Arduino Nano and TFT LCD. Data from the MAX30100 sensor enters the Arduino minimum system, then is processed to produce a percentage of SpO2 values ​​which are then displayed on the TFT LCD. In the module, the data displayed can be stored and displayed again so that patient data can be traced. Testing is done by comparing the module with a standard measuring instrument that produces the biggest error of 2.80% on BPM and 0.95% on SpO2.
Central Monitor Based On Personal Computer Using Single Wireless Receiver Ahmad Fanani; Bambang Guruh Irianto; Andjar Pudji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.568 KB) | DOI: 10.35882/ijeeemi.v1i1.8

Abstract

Central monitor is a tool that monitors the patient's condition with several devices into one display on a personal computer (PC). Pulse Oxymetri serves to monitor the state of oxygen saturation in the patient's blood without going through blood gas analysis. This tool uses a wireless delivery system, HC-11 that can transmit data as far as 10 meters without obstruction. This tool uses a finger sensor, an analog signal conditioner and a microcontroller that is processed to produce a percentage value of SpO2 which is then sent through HC-11. The workings of this tool are very simple by entering the finger sensor on the finger and then it will be detected by the finger sensor that will be displayed on the PC. Digital data from the ADC Atmega is received by the personal computer (PC) via Bluetooth HC-011. Furthermore, the data is processed with the Delphi program and displayed on the monitor. Appears on the Delphi application. After measurement, get an error in the SpO2 parameter, the biggest error is 1.02% and get the smallest error 0.8%.
Central Monitor Based On Personal Computer Using One Wireless Receiver Muhammad Nezar Abdullah Mufarid; Bambang Guruh Irianto; Andjar Pudji
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 1 No 1 (2019): August
Publisher : Department of electromedical engineering, Health Polytechnic of Surabaya, Ministry of Health Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.749 KB) | DOI: 10.35882/ijeeemi.v1i1.2

Abstract

Central monitor is a tool in the health field that serves to monitor the patient's condition which is centralized in one monitor display centrally. In this scientific paper raised wireless systems for sending data to one monitor. In this module there are Electrocardiograph (EKG) parameters which are a parameter to detect and measure the electrical activity of the heart muscle using measurements of biopotential signals obtained from the surface of the body. From these measurements, an ECG signal will be obtained to produce a heart rate per minute (BPM). ECG signals are obtained from measurements of the electrical activity of the heart through electrodes placed on the patient's skin using the bipolar lead method. ECG signals will be processed using a microcontroller circuit as processors. Then the data will be sent to the PC using wireless HC-11. The data received by the PC, then processed using the Delphi application which will then display ECG charts and BPM results and abnormalities indicators if the BPM is in a condition above or below normal. By comparing the module with a standard measuring instrument, the biggest error is 0.99% which is still in tolerance because the tolerance limit is 5%
Development Portable Spirometer using MPXV7002DP Sensor and TFT Display for Lung Disease Detection. Lizarazu Maulidil Li Kharis; Andjar Pudji; Priyambada Cahya Nugraha
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 2 No 3 (2020): November
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.v2i3.3

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.
Co-Authors Achmad Rizal Achmad Rizal Ahmad Fanani Ahmad Fanani Ahmad Zaky Ma'arif Ahniar, Nur Hasanah Alfina Nadhirotussolikah Ali, Latafat Mikayilzade Alievya Brillianty Anugrah Kusuma Amrinsani, Farid Andayani, Dwi Herry Anggara Trisna Nugraha Anita Miftahul Maghfiroh Aprilina Gayuh Arniningtyas Arga Wihantara Arniningtyas, Aprilina Gayuh AskA Putri Hermawan Aulia, Farahun Nisa Bambang Guruh Irianto Barus, Yenda Mita Bogavev, Sergey A. Boy Pribowo Cantika Melinda Denis Kurniar Wicaksono Des, Sima Dwi Herry Andayani Dwi Herry Andayani Dwi Widyaningtyas Edo Rafsanzani Ekha Rifki Fauzi Endro Yulianto Erwin L. Rimban Fajar, Fathul Faraz Masood Fathul Fajar Fiqih Fahrur Ramadhan Forra Wakidi, Levana Gede Aditya Mahendra Oka Hermawan, Aska Putri I Dewa Gede Budi Whinangun I Dewa Gede Hari Wisana I Dewa Gede Hariwisana I Dewa Gede Hariwisana Ichwan Syahrul Bahtiar Indrato, Tri Bowo Indrato, Tri Bowo Khongdet Phasinam Kirana, Vanda Catur Laily Nurrohmah Lamidi, Lamidi Latafat Mikayilzade Ali Liliek Soetjiatie Lizarazu Maulidil Li Kharis Lusiana Lusiana Lusiana Lusiana Luthfiyah, Sari M. Ridha Mak'ruf M. Ridha Makruf Mak’ruf, Muhammad Ridha Melinda, Cantika Misra, Shubhrojit Mochammad Sofyan Mohamad Adam Firdaus Mufarid, Muhammad Nezar Abdullah Muhammad Fajar Wahyudi Muhammad Nezar Abdullah Mufarid Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Muhammad Ridha Makruf Muhammad Ridha Mak’ruf Muhammad Ridha Mak’ruf Muhammad Ridha Mak’ruf Muhammad Ridha Mak’ruf Muhammad Rois Amin Novella Lasdrei Anna Leediman Nuntachai Thongpance Oka, Gede Aditya Mahendra Oka, I Komang Yogi Mahardika Priyambada Cahya Nugraha Rafsanzani, Edo Ramadhan, Fiqih Fahrur Rizhky, Ayu Nissa Berlianri Sapty Taurisita Fauziah Satheeshkumar Palanisamy Sedigheh Ashgari Baighout Sergey A. Bogavev Setiawan, Singgih Yudha Shengjie Yan Shubhrojit Misra Shubhrojit Misra Sofyan, Mochammad Sumber, Sumber Syaifudin Syaifudin Syaifudin, Syaifudin Thongpance, Nuntachai Torib Hamzah Triwiyanto Triwiyanto Ullah, Naqeeb Utomo, Bedjo Vanda Catur Kirana Vijay Anant Athavale Vugar Abdullayev Widyaningtyas, Dwi Yan, Shengjie Yenda Mita Barus Yunik Pujiastuti