Alat Ukur Konsentrasi Dan Flow Oksigen Pada Ventilator

Firdaus, Yunaifi Niswatul; Syaifudin, Syaifudin; Putra, Moch Prastawa Assalim Tetra

doi:10.35882/teknokes.v12i1.5

Cited by 2 publications

(3 citation statements)

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“…However, this study did not measure the flow rate of gases with low range as in oxygen flowmeter for the patient. Yunaifi Niswatul Firdaus then made Measuring Oxygen Concentration and Flow in the Ventilator [19] to measured oxygen levels and velocity oxygen flow with character LCD interface for displaying the readings. In this case, the researcher used the OCS 03F sensor.…”

Section: Introductionmentioning

confidence: 99%

“…The development of this device can also use automatic pulse oximetry settings for oxygen flow and fraction so that users do not need to enter the room to change the settings. Based on previous research, researchers wanted to analyze the accuracy and stability of flow in HFNC using the GFS131 sensor which can measure high flow rates [19]. The development of the equipment that the author used was in the forms of adding graphics to the TFT LCD to help monitor stable data in real time.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Stability and Accuracy of Gas Flow in High Flow Nasal Canule for COVID-19 Patients

Mak’ruf¹,

Leediman²,

Pudji³

et al. 2023

j.electron.electromedical.eng.med.inform

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In December 2019, the world was introduced to a new coronavirus, severe acute respiratory syndrome (COVID-19).The primary strategy for COVID-19 patients is supportive care, using high-flow nasal oxygen therapy (HFNC) reported to be effective in improving oxygenation. Stability is the ability of a medical device to maintain its performance [1]. Medical equipment must have the stability necessary to maintain critical performance conditions over a period of time. Accuracy is the closeness of agreement between the value of a measuring quantity, and the value of the actual quantity of the measuring quantity[2].The purpose of this study is to ensure that the readings of the HFNC device are accurate and stable so that it is safe and comfortable when used on patients. The development of the equipment that will be used by the author adds graphs to the TFT LCD to help monitor stable data in real time so that officers can monitor the flow and fraction of oxygen in the device to be stable. This study uses Arduino Nano while the sensor used is the GFS131 sensor, then the results are displayed on the Nextion TFT LCD. The test is carried out with comparing the setting value of the HFNC tool that appears on the TFT LCD with a gas flow analyzer with a measurement range of 20 LPM to 60 LPM 5 times at each point. Based on measurements on the gas flow analyzer, the HFNC module has an average error (error (%)) of6.40%. Average uncertainty (Ua) 0.05. Conclusion from these results that the calibrator module has a relative error (error value) that is still within the allowable tolerance limit, which is ±10%, the tool is precise because of the small uncertainty and good stability of the stability test carried out within a certain time.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Stability and Accuracy of Gas Flow in High Flow Nasal Canule for COVID-19 Patients

Mak’ruf¹,

Leediman²,

Pudji³

et al. 2023

j.electron.electromedical.eng.med.inform

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“…For example, if we adjust the oxygen concentration (FiO2) in the blending machine, the user makes the baby's condition an indicator of achieving the desired concentration setting in the success of therapy. This causes nurses' instincts to be the only source of certainty for the value of oxygen levels using Bubble CPAP [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

Development of Monitoring Parameters of Oxygen Concentration, Oxygen Flow Rate, Temperature and Humidity in IoT-Based CPAP Bubble (Oxygen and Humidity Concentration)

Puspitasari,

TITISARI,

Lamidi

2023

j.teknokes

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Bubble Continuous Positive Airway Pressure (CPAP) is a device to maintain positive pressure in the neonate's airway as long as it can breathe spontaneously. FiO2 percentage, flowmeter, humidifier mode, PEEP depth are parameters that must be set for oxygen therapy using a cpap bubble device, but this tool has minimal monitoring. It has been developed by several previous researchers but has several shortcomings, namely there is no digital result display, no measurement of oxygen rate, oxygen concentration, temperature and humidity. The purpose of this research is to design a parameter monitoring tool on the cpap bubble so that it can monitor the baby's condition in real time and can be used as an indicator of achieving the desired concentration setting. The contribution in this study is a monitoring system or remote monitoring so that nurses and doctors can monitor the baby's condition even though they are not accompanying him. In order to facilitate the process of monitoring and diagnosing patients, a parameter monitoring tool on the cpap bubble based on the Internet of Things is made with notifications on telegrams so that patients can be treated quickly. The design of this tool uses OCS-3f as a sensor for detecting oxygen concentration and DHT22 as a sensor for detecting humidity. The output of oxygen and humidity concentrations is then processed by the ESP32 microcontroller into the ADC pin. Data that has been processed from analog sensor data into digital data on the ESP32 is then sent to the https://thinger.io site using the internet network via the wifi module contained in the ESP32 module build-in. In measuring positioned in the settings of 21% to 95%. The largest error value obtained is 4.6% and the smallest is 0.04%.

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Alat Ukur Konsentrasi Dan Flow Oksigen Pada Ventilator

Cited by 2 publications

References 0 publications

Analysis of Stability and Accuracy of Gas Flow in High Flow Nasal Canule for COVID-19 Patients

Analysis of Stability and Accuracy of Gas Flow in High Flow Nasal Canule for COVID-19 Patients

Development of Monitoring Parameters of Oxygen Concentration, Oxygen Flow Rate, Temperature and Humidity in IoT-Based CPAP Bubble (Oxygen and Humidity Concentration)

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