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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science
Rahmawati, Triana
Politeknik Kesehatan Kementerian Kesehatan Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Implementation of Gyro Accelerometer Sensor for Measuring Respiration Rate Based on Inhale and Exhale Using Kalman Filter Fitriyana Jayanti; Triwiyanto Triwiyanto; Triana Rahmawati; Abdussalam Ali Ahmed
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.v15i4.479

Abstract

Respiratory rate is a fundamental vital sign that is sensitive to different pathological conditions including heart, lung, emotional stress, the influence of body temperature and activity fatigue. The respiratory rate in humans is measured by counting the number of breaths for one minute by monitoring and counting the number of times the chest rises and falls during the inhale and exhale process. Various methods for measuring respiratory rate that are commonly used including pneumograph, impedance and capnography are applied in patient monitoring. This study aims to examine and analyze the application of the kalman filter on the output of the gyro accelerometer sensor to increase the results of the detection of respiratory rates using the gyro accelerometer sensor. This study test was carried out using a patient simulator in Surabaya Ministry of Health Polytechnic nursing laboratory. This simulator patient can simulate respiration with a mechanical work system up and down the chest and abdomen, uses an Arduino Nano microcontroller to filter the output of the gyro accelerometer sensor and the results will be compared before and after the filter. The independent variable in this study is the respiration value, while the dependent variable is the sensor output before being filtered. In the relaxed condition of the respondent The most effective use of the kalman filter is found in the parameters R = 10, Q = 0.1 because in the use of these parameters, the value after being filtered has a value that tends to be stable. The highest error value in the application of the gyro accelerometer sensor occurs at sensor position 1 with R = 1 Q = 10 value of 2,6%. This study shows the effect of differences in respiration values before and after using a kalman filter. This study has limited differences in values that are far between the pre filter and after being filtered in several data collections.
The Performance Analysis of the Infrared Photodiode Sensor to Infusion Set on Infusion Device Analyzer Machine Anisa Rahma Astuti; Syaifudin; Triana Rahmawati; Khongdet Phasinam
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): 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.v5i1.274

Abstract

Infusion pumps and syringe pumps are devices used to administer liquid medicines to patients. The frequency of using the infusion pump and syringe pump in the long term will affect the accuracy of the tool. Accuracy is very important in dosing to patients in critical conditions who require intensive care to prevent fluid balance in the body. Therefore, periodic calibration of medical devices is required at least once a year. Calibration according to Permenkes No. 54 of 2015 is a calibration activity to determine the correctness of a tool. The purpose of this research is to make an Infusion Device Analyzer (IDA) with a TFT LCD displaying a graph of flowrate parameters. The method used is to analyze the flowrate value using an infrared photodiode sensor and can see the stability of the flowrate graph on a 7-inch TFT LCD from the use of 2 brands of syringes and an infusion set. The results obtained can be stored on the SD Card. The measurement results show that the error in the performance of the syringe and infusion pump read by the module on Channel 1 with the Terumo syringe is 0.15 (10 ml/h), 0.1 (50ml/h) and 0.03 (100ml/h). . On Channel 2 it is 0.02(10ml/hour), 0.03 (50ml/hour) and 0.04(100ml/hour). When using the B-Braun Channel 1 syringe, 0.25 (10ml/h), 009(50ml/h) and 0.08(100ml/h) are used. And on Channel 2 it is 0.62 (10ml/h), 0.15 (50ml/h), and 7.3 (100ml/h). When using the Terumo Channel 1 brand infusion set at 0.05 (10ml/h), 0.3(50ml/h), and 0.04(100ml/h). On Channel 2 it is 0.14(10ml/hour), 0.02 (50ml/hour) and 0.18 (100 ml/hour). When using the B-Braun Channel 1 Infusion Set, it is 0.07(10ml/h), 0.02(50 ml/h), and 0.03 (100ml/h). Then on Channel 2 0.07 (10ml/hour), 0.02(50 ml/hour), and 0.1(100ml/hour). The conclusion of this study is that the use of 2 different infusion sets greatly affects the readings, other than that other factors can also affect the readings including the position of the hose and the placement of sensors on each channel. From the manufacture of this tool, it is expected that users can be more efficient in using a 2-channel Infusion Device analyzer which can be run at the same time.
Monitoring the Stability of Oxygen Flow Analyzer on Oxygen Station in the Hospital Nur Khabibatul Rosida; Triana Rahmawati; I Dewa Gede Hari Wisana; Maduka Nosike
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 1 (2023): 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/ijeeemi.v5i1.265

Abstract

Oxygen therapy besides having benefits also has certain dangers and side effects. For this reason, oxygen therapy must be given at the proper dose by monitoring the patient regularly and adjusting the oxygen flowmeter. The accuracy of flowmeter under standard conditions is guaranteed by manufacturer. With time and use the precision may change and the flow accuracy given in a hospital setting may differ from the original value. Thepurpose of this research is to conduct further research on Oxygen flow analyzer which focuses on discussing the accuracy and stability of the oxygen flow sensor against the gold standard. Contribution of this study is to increase the range of oxygen flowrate measurement to 15 liters per minute (LPM). This research uses Arduino Mega while the gas flow sensor used is legris flow sensor. The measurement results are displayed on TFT LCD equipped with SD Card data storage. The gas flowrate is regulated using a flowmeter (GEA). Meanwhile the comparison tools using Oxygen Analyzer and 1 m3 oxygen gas cylinder. At the testing stage, the sensor reading value on the module that appears on the TFT LCD is compared with the resultsf a comparison tool with a measurement range of 1 LPM to 15 LPM 6 times at each point. The conclusion from these results is that the calibrator module has a relative error is still within the allowable tolerance limit of ±10%. INDEX TERMS Calibration, Oxygen Flow Analyzer, Flowmeter, TFT Display
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 Abdi Wibowo Abdussalam Ali Ahmed Anisa Rahma Astuti Dhany Alvianto Wibaksono Egan Graha Utama Endro Yulianto Fita Florensa Rooswita Fitriyana Jayanti Harisha Avin Nurcahyana Honey Honey I Dewa Gede Hari Wisana I Dewa Gede Hari Wisana Indrato, Tri Bowo Khongdet Phasinam Kinanti Elok Putri Lamidi, Lamidi Liliek Soetjiatie Luh Putu Ratna Sundari Maduka Nosike Mansour Asghari Mohanad Abdulhamid Muhammad Ridha Mak'ruf Nur Khabibatul Rosida Pawana, I Putu Alit Priyambada Cahya Nugraha Priyambada Cahya Nugraha Ram Gopal Ridho Armi Nabawi Sandeep Kumar Gupta Siti Rohmatul Jannah Syaifudin Torib Hamzah Veriko Yonanto Vugar Abdullayev Wahyu Caesarendra