Analysis of the Effects of Infusion Drips on Flow Rate and Volume Determination in IV Systems

Abstract

In this study, drop form flow examinations, which form the basis of IV applications used for therapeutic purposes, were performed. Fluid Intravenous (IV) is the practice of administering fluids into a vein. In IV applications, flow must be monitored in order to follow and control the treatment process. For this purpose, the fluid can be converted into drop form with a simple mechanism and the flow rate and volume data can be calculated by the drop counting method. Examining drop form flow processes and analyzing microdrops correctly increases the accuracy in calculating flow data and, most importantly, increases the quality of treatment in IV applications. In the scope of this study, the formation processes of microdrops and the affecting parameters were analyzed. Along with microdrop analysis, error evaluation of the drop counting method and evaluation of measurement techniques were carried out to ensure a healthy and accurate measurement process. System tests and verification were carried out with optical systems, one of the measurement techniques. As a result, this study was carried out on the importance of monitoring systems and measurement parameters in IV applications.

Keywords

• Intravenous (IV) system
• Gravity-Effected flow
• Microdrip methodology
• Drop counting
• Optical sensing

References

1. 1. Kim, U. R., Peterfreund, R. A., Lovich, M. A. (2017), Drug infusion systems: Technologies, performance, and pitfalls. In Anesthesia and Analgesia (Vol. 124, Issue 5, pp. 1493–1505). Lippincott Williams and Wilkins.
2. 2. Flack, F. C., Whyte, T. D. (1975), Variations of drop size in disposable administration sets used for intravenous infusion. In J. clin. Path (Vol. 28).
3. 3. Stoneham, M. D. (1995), An evaluation of methods of increasing the flow rate of i.v. fluid administration. British Journal of Anaesthesia, 75(3), 361–365.
4. 4. Singh, S., Randle, L. V., Callaghan, P. T., Watson, C. J. E., Callaghan, C. J. (2013), Beyond Poiseuille: Preservation Fluid Flow in an Experimental Model. Journal of Transplantation, (2013), 1-6, (2013).
5. 5. Tolman, R. C. (1949), The effect of droplet size on surface tension. The Journal of Chemical Physics, 17(3), 333–337.
6. 6. La Cour D. (1965), Drop size in disposable sets for intravenous infusion, Acta Anaesthesiol Scand, 9, 145-154.
7. 7. Hillman, M. R. (1989), The prediction of drop size from intravenous infusion controllers, Journal of Medical Engineering & Technology, 13(3), 166-176.
8. 8. Murphy, R. S., Wilcox, S. J. (2009), High risk infusions - Accuracy compromised by changes in patient venous pressure. Journal of Medical Engineering and Technology, 33(6), 470–474.

9. 9. Pierce, E. T., Kumar, V., Zheng, H., Peterfreund, R. A. (2013), Medication and volume delivery by gravity-driven micro-drip intravenous infusion: Potential variations during “wide-open” flow. Anesthesia and Analgesia, 116(3), 614–618.
10. 10. IEEE Staff, & IEEE Staff. (2010), 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
11. 11. Bhavasar, M. K., Nithya, M., Praveena R., Bhuvaneswari, N. S., Kalaiselvi, T. (2016), Dept. of Electronics and Instrumentation Easwari Engineering College, Chennai, Tamilnadu.
12. 12. Arfan, M., Lavanya, R. (2020), Intravenous (IV) Drip Rate Controlling and Monitoring for Risk-Free IV Delivery, International Journal of Engineering Research & Technology (IJERT), 9(09), 967–971.
13. 13. Kamble, Vidyadhar V., Pandey, Prem C., Gadgil, Chandrashekar P., Choudhary, Dinesh S.(2001), Deparment of Electrical Engineering, IIT Bambay, Powai Mumbai,India.
14. 14. Tanwar, S., Maniktalia, R., Billa, R. (2021), IoT Based Drip Infusion Monitoring System. International Journal of Science and Research.
15. 15. Cahyanurani, A., Hadiyoso, S., Aulia, S., Faqih, M. (2019), Design and development of a monitoring and controlling system for multi-intravenous infusion. International Conference on Engineering, Technology and Innovative Researches