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Measurement of Vital Signs Respiratory Rate Based on Non Contact Techniques Using Thermal Camera & Web Camera with Facial Recognition Raden Duta Ikrar Abadi; Endro Yulianto; Triwiyanto Triwiyanto; Sandeep Kumar Gupta; Vugar Abdullayev
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 2 (2022): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i2.3

Abstract

Examination of the respiratory rate is included in the calculation of vital sign parameters used by the medical team to determine whether a person's condition is good or not. Researchers want to develop a method of checking the respiratory rate that is easy to use by the general public and can display fast and precise results. During this pandemic, we are forced to reduce direct human-to-human contact with the aim of suppressing the exchange of viruses. From this condition, the researcher wants to develop a measuring instrument to measure the respiratory frequency with the non-contact method. This method is expected to reduce direct contact between humans and still get the results of the respiratory rate value which can be used as a parameter to determine a person's condition. To get the value of the respiratory rate, researchers have an idea by monitoring changes in temperature using a thermal camera. For the respiratory rate parameter, the researcher observed the nose area by detecting changes in expiratory and inspiration temperatures and then calculating the respiratory rate. To get these results, the researcher uses a method of detecting the face area or called face recognition and then detecting the ROI point in the area of interest in the nose area. In observing the respiratory rate, the temperature value during expiration is 31.05 °C while at the time of inspiration is 30.01 °C. This temperature difference will be carried out in the process of calculating the respiration rate value by the system made by the researcher. In the results of this study, it was found that the respiration rate module can be used as a reference with a normal use range of 60-120 cm with an error value of 1% if the distance is above 100 cm, then the results of this study are that this research can be implemented on a breathing frequency measuring instrument with a non-standard method. - contact
The Effect of Lost Data on the IoT Platform on the Formation of Fetal Heart Rate Graphs for Remote Diagnostic Purposes Boy Pribowo; Andjar Pudji; Muhammad Ridha Mak’ruf; Vugar Abdullayev
Jurnal Teknokes Vol 15 No 4 (2022): December
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.489

Abstract

FHR is the fetal heart rate from bpm recording detected by doppler, FHR monitoring is very important to monitor fetal health to avoid fetal distress or fetal death, FHR provides more in-depth information about how the baby is doing compared to traditional monitoring of the baby. IoT media is a medium for monitoring remote sensor values ​​using internet connections, but there are several obstacles, namely there are doubts about the data displayed by IoT media, namely the risk of missing or unsent data, this will be very dangerous if the data that is should be monitored by doctors as a reference for medical diagnosis and treatment is lost or not displayed on the IoT, because if there is missing data it will cause inaccurate diagnosis or health treatment decisions by doctors. The aim of this study to analyze the effect of lost data on the formation of the Fetal Heart Rate graph on the IoT platform as a medium for remote diagnosis. In addition, FHR data can be saved for further diagnosis by a doctor if needed. This study uses an ESP32 microcontroller which will also be used to send data to IoT (Thinger.io). The independent variable used in this study is FHR data before it is uploaded to the IoT, and the dependent variable is FHR data when it is uploaded to the IoT. The greatest data loss is at the farthest distance of 30 meters with a value of 62.47%. Based on the research that has been done, this study has the advantage that the results obtained from Doppler are close to the BPM value in humans. And also this research has developments that can be done in the future such as adding storage to the website that is used for monitoring, and placing the right position on Doppler so that the results are more stable.
Performance Comparison of ECG Bio-Amplifier Between Single and Bi-Polar Supply Using Spectrum Analysis Based on Fast Fourier Transform Anita Miftahul Maghfiroh; Syevana Dita Musvika; Vugar Abdullayev
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): 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.v4i4.248

Abstract

Heart performance is one of the vital signs that cannot be ignored and must be monitored periodically. In this case, the measuring range of the human heart rate is between 60-100 BPM, in which the measurement unit is expressed as Beat per Minute (BPM). Therefore, it is very important to use Electrocardiograph equipment to tap the electrical signals of the heart with correct readings and minimal interference such as frequency of electric lines and noise. The purpose of this study was to compare the instrumentation amplifier using a single supply with a bi-polar supply in the ECG design to select the best instrumentation amplifier, which is expected to contribute to other researchers in choosing the right type of instrumentation amplifier that is efficient and qualified. In this case, the research was carried out by comparing two single supply instrumentation amplifiers using the AD623 IC and the bi-polar supply using the AD620 IC, continued by the use of Fast Fourier Transform (FFT) to determine the frequency spectrum of the ECG signal. The test results further showed that the use of single power instrumentation could reduce more noise compared to the Bi-Polar instrumentation amplifier by strengthening 60 dB Low pass filter circuit. Meanwhile, the FFT results in finding the frequency spectrum explained that the FFT results on the ECG signal provided information that the ECG signal had a frequency range between 0.05 Hz and 100 Hz. When the frequency is more than 100 Hz, the frequency started to be suppressed and when the frequency is less than 100 Hz, the frequency is passed. This research could be further used as a reference by other researchers to determine which type of instrumentation amplifier is better.
Enhancement Drip Dose Infusion Accuracy Based on Optocoupler and Microcontroller Sensor Yudistira Marsya Puvindra; Arief Marwanto; Eka Nuryanto Budisusila; Vugar Abdullayev
International Journal of Advanced Health Science and Technology Vol. 2 No. 4 (2022): August
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijahst.v2i4.135

Abstract

Setting the speed of infusion drops in a manual manner is by adjusting the clamp on the infusion set, where the nurse must count the number of infusion drops in the chamber at the same time as looking at the time on the watch. This makes the setting is subjective and cannot be shown with numbers. In addition, nurses cannot monitor the infusion rate continuously. Therefore, it is necessary to enhancement the accuracy of giving infusion drops so that they can be objective and can be shown with numbers and monitor continuously. This enhancement in accuracy is done by making a instrument with an optocoupler to detect infusion drops. For processing uses an arduino microcontroller to be the speed and the volume of infusion and detects changes in the rate of infusion drops significantly. And for the display uses a OLED display and a buzzer as an indicator. The results of this instrument, it can be seen that the optocoupler can detect infusion drops in the infusion set properly. This good sensor reading has implications for accurate readings of the infusion drop rate and infusion drop volume. This enhancement in accuracy is not only for the macro drip (20 drops/cc) but also for the micro drip (60 drops/cc). The accuracy of volume readings ranges from 95-99% for the macro drip and 94.5-97% with the micro drip. And for speed accuracy ranges from 92.37-98.46%. Based from the results of this test, enhancement the accuracy of the infusion drip dose administration can be done by making a patient infusion drip dose calculator. This equipment uses an optocoupler sensor, arduino microcontroller, OLED display and buzzer. With the use of this instrument, nurses can be more accurate in regulating the rate of infusion drops given to patients and can monitor it continuously if there is a significant change in infusion rate.
Implementation of Gyro Accelerometer Sensor for Measuring Respiration Based on Inhale And Delphi Based Exhale Egan Graha Utama; Triwiyanto Triwiyanto; Triana Rahmawati; Vugar Abdullayev; Mohanad Abdulhamid
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.477

Abstract

Gyro accelerometer sensor which is a sensor that can detect changes in position and speed. Many studies use the gyro accelerometer sensor as a sensor in respiration. This study aims to examine and analyze changes in the position of inhale and exhale in 3 positions of the gyro accelerometer sensor which is placed on the abdomen and chest to determine the value of respiration. This study displays 3 signals and respiration values detected by the gyro accelerometer sensor and then displayed using Delphi. The independent variable in this study is the value of respiration, while the dependent variable is the output of the gyro accelerometer sensor. The biggest error value from the module measurement is when the sensor position 2 is sitting with an error value of 1.11%. While the error value is greatest when the sensor position 3 is in a sleep state with an error value of 3.66%. The conclusion from these results is that the module has a relative error (error value) that is still within the allowable tolerance limit, which is ±5%. This study also shows the effect of the gyro accelerometer sensor output value on the placement of the 3 sensor positions placed on the abdomen and chest. This study has limitations, namely when the respondent moves or walks in a place where there is still noise and the signal on the Delphi display is lost.
Analysis of Temperature Distribution in Blood Banks Through Storage of Measurement Results with IoT Monitoring in the Blood Donor Unit of PMI Surabaya Farisy Azis Satria Wardhana; Anita Miftahul Maghfiroh; Dyah Titisari; Sumber Sumber; Vugar Abdullayev
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 2 (2023): May
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.v5i2.278

Abstract

Temperature or temperature is an indicator of the degree of heat of an object. Cold chain or cold chain is a supply chain system that considers the temperature level in the process. Cold chain to keep frozen or chilled products in an environment with a certain temperature during production, storage, transportation, processing and sales. This is intended to maintain product quality. The purpose of this study was to determine the temperature distribution in the Blood bank at UDD PMI Surabaya City which was used for storage of blood products. By using the ESP32 system and the DS18B20 temperature sensor which will then be monitored via IoT, it will make it easier for users to monitor. The results of these measurements will be stored in a micro SD card for analysis. The data is processed by Non-Parametric Test resulting in an interpretation that the temperature of each shelf is different due to the difference in the location of the sensor placement. The temperature difference is also influenced by the pattern of use and the process of heat transfer from the bottom to the top of the shelf. This research was considered successful with the result of the highest temperature distribution being 3°C and the lowest being 2°C. The location of these racks can be useful in determining day-to-day monitoring measuring points. This value has met the standard for storage of blood products, which is in the range of 2°C-6°C.