MEASUREMENT OF INFUSION FLOW RATE USING A DROPLET SENSOR BASED ON ARDUINO UNO
DOI:
https://doi.org/10.22437/jop.v9i1.28946Keywords:
Infusion, Optocoupler Sensor, Servo Motor, Flow Rate, RTC DS3231Abstract
A research has been conducted to help the medical staff in the hospital. The purpose of this study is to calculate and regulate the infusion flow rate of the infusion into the patient's body. This research uses an experimental method. The liquid released from the infusion is converted into droplets, which are then detected by the LM393 optocoupler sensor, which consists of three sensors arranged around the detection area by emitting infrared light through a transmitter to detect the shadow of the droplet so that the signal is received by the receiver of the optocoupler sensor. Which is processed with the Arduino Uno microcontroller. The Arduino Uno provides the results received from the sensor and coded using the Arduino IDE software to be displayed on a 16x2-character Liquid Crystal Display (LCD). The sample used in this study was Sodium Chloride (NaCl). The calibration tools performed were droplet sensor test, servo motor test, and Real Time Clock (RTC) DS3231 module test. The results of the detection in the droplet sensor configuration showed a high degree of accuracy, with an error value of 2.414%. so that this research can be implemented in the detection and appropriate management of infusion flow rates. The current testing being carried out is still on a laboratory scale. However, in the future, this system can be developed to monitor infusions in real-time over a longer period of time and using more complex data processing functions.
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References
Blake, J. W. C., & Giuliano, K. K. (2020). Flow accuracy of IV smart pumps outside of patient rooms during COVID-19. AACN Advanced Critical Care, 31(4), 357–363.
Cataldo A, Cannazza G, De Benedetto E, Giaquinto N, Trotta A. Reproducibility analysis of a TDR-based monitoring system for intravenous drip infusions: Validation of a novel method for flow-rate measurement in IV infusion. IEEE Symp Med Meas Appl Proc. 2012;203–7.
Chang WP, Peng YX. 2018. Occurrence of Phlebitis: A Systematic Review and Meta-analysis. Nurs Res. 67(3):252-260.
Chen FG, Wang JY, Chen S, Tu SC, Chen KY. A hang and play intravenous infusion monitoring system. Proc - 3rd Int Conf Appl Comput Inf Technol 2nd Int Conf Comput Sci Intell. 2015;278–81.
Giaquinto et al., “Real-time drip infusion monitoring through a computer vision system,â€in 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-5,July 2020.
Heriana, P. (2014). Buku Ajar Kebutuhan Dasar Manusia. Jakarta: Bina Rupa Aksara.
Maaß S, Rojahn J, Hänsch R, Kraume M. Automated drop detection using image analysis for online particle. Lesch. 2012;1–21.
Mohammed, Z. K. A., & Ahmed, E. S. A. (2017). Internet of things applications, challenges and related future technologies. World Scientific News, 67(2), 126–148.
Norgia, M., Magnani, A., Melchionni, D., & Pesatori, A. (2014). Optical system for drop volume measurement. 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.
Rao, K. R., & Supriya, K. E. (2020). Design and development of iot based intravenous infusion system. Lecture Notes in Electrical Engineering, 569(January), 487–499.
Reid-Searl, K., Dwyer, T., Moxham, L., & Reid-Speirs, J. (2007). Nursing student’s maths & medications survival guide. Frenchs Forest, Australia: Pearson.
Rothschild, J. M., Keohane, C. A., Hayes, J., Saniuk, C., & Bates, D. W. (2005). Intravenous medication safety and smart infusion systems: lessons learned and future opportunities. Journal of Infusion Nursing, 28(5), 321-328.
Safitri, H. Da Fonseca and E. Loniza, “Short text message based infusion fluid level monitoring system,†J. Robot Control, vol. 2, no. 2, pp. 60-64, 2021.
Sucipta, I., Simatupang, J. W., Kaswandi, C., & Purnama, I. (2021). Prototipe Pemantauan Tetes Cairan Infus Berbasis IoT Terkoneksi Perangkat Android. Jurnal Teknologi Elektro, 12(3), 113
Syaifudin et al., “Analysis of Drop Sensor Accuracy in Central Infusion Peristaltic Monitoring Based on Computer Using Wireless Communication HC-11,†J. Electron. Electromed Eng. Med. Informatics, vol. 4, no. 2 pp. 55-61, 2022.
Umar, L., Rosandi, V. A., Setiadi, R. N., & Zulharman, Z. (2022). Intravenous Infusion Dosing System For Volume Control Based On Signal Periodic Measurement. Spektra: Jurnal Fisika Dan Aplikasinya, 7(2), 93 - 102.
