– Patients with Covid-19 have several symptoms, one of which is a decrease in the oxygen content in the blood or oxygen saturation (SpO2). Detecting oxygen saturation in preventing the spread of Covid-19 is one of the first steps. In this study, researchers conducted an experiment to detect oxygen levels in the blood or oxygen saturation on the POLECTOR C-19 device that was made. By using a photoplethysmography (PPG) which is carried out non-invasively using the sensor, the MAX30102 aim is to get the oxygen saturation value which is used as a reactive and non-reactive decision maker. With the method, the moving average data used from the sensor readings in the form of analog data will be changed using the formula Ratio of Ratios by calculating the average oxygen level then the results can be used to calculate oxygen levels in the blood. The results of sensor readings on the POLECTOR C-19 tool with a digital oximeter from an average value of 10 samples have a difference in value of 0.4, the reading results are the same as the readings of existing medical devices (digital oximeter) so that this tool can be used as a reader. oxygen saturation parameters. In conclusion, this tool can detect a person's condition by predicting the risk or no risk of Covid-19 from the results of the sensor readings of oxygen levels in the blood.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.