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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal TEKNOKES Indonesian Journal of electronics, electromedical engineering, and medical informatics International Journal of Advanced Health Science and Technology
Vugar Abdullayev
Azerbaijan State Oil and Industry University, Azerbaijan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Health Professions Nursing Public Health

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Journal : Jurnal TEKNOKES

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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.
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.
Co-Authors Andjar Pudji Anita Miftahul Maghfiroh Anita Miftahul Maghfiroh Arief Marwanto Boy Pribowo Dyah Titisari Egan Graha Utama Eka Nuryanto Budi Susila Endro Yulianto Farisy Azis Satria Wardhana Mohanad Abdulhamid Muhammad Ridha Mak’ruf Raden Duta Ikrar Abadi Rahmawati, Triana Sandeep Kumar Gupta Sumber Sumber Syevana Dita Musvika Triwiyanto Triwiyanto Yudistira Marsya Puvindra