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http://dx.doi.org/10.15207/JKCS.2022.13.03.125

Comparative analysis of fusion factors affecting the accuracy of injection amount of remote fluid monitoring system  

Kim, Seon-Chil (Department of Biomedical Engineering, School of Medicine, Keimyung University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.3, 2022 , pp. 125-131 More about this Journal
Abstract
Recently, the prevalence of remotely managed patient care systems in medical institutions is increasing due to COVID-19. In particular, in the case of fluid monitoring, hospitals are considering introducing it as a system that can reduce patient safety and nurses' work. There are two products under development: a load cell method that measures weight and a method that detects drops of sap by infrared sensing. Although each product has differences in operation principle, sensor type, size, usage, and price, medical institutions are highly interested in the accuracy of the data obtained.In this study, two prototypes with different sensor methods were manufactured and the total amount of infusion per hour was measured to test the accuracy, which is the core of the infusion monitoring device. In addition, when there was an external movement, the change in the measured value of the sap was tested to evaluate the accuracy according to the measurement method. As a result of the experiment, there was a difference of less than 5% in the measurement value error of the two devices, and the load cell method showed a difference in the low-capacity measurement value and the infrared method in the high-capacity measurement value. As a result of this experiment, there was little difference in accuracy according to the sensor method of the infusion monitoring device, and it is considered that there is no problem in accuracy when used in a medical institution.
Keywords
Ringer; Load Cell Sensor; Infrared Sensor; Accuracy; Patient Nursing;
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Times Cited By KSCI : 5  (Citation Analysis)
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