Design Analysis of Portable 1 Channel Infusion Device Analyzer Using Sensor SKU 237545

  • Syaifudin Syaifudin Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
  • Triana Rahmawati Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya, Surabaya, Indonesia
Keywords: Calibration, Flowrate, U95

Abstract

An infusion pump is a tool used to inject a certain amount of fluid into the patient's body through the patient's veins continuously over a certain period of time. A syringe pump is a tool that functions to push the syringe rod so that it can produce a flow ranging from microliters to milliliters per minute periodically with high accuracy. Very often there are problems with blockages or occlusion when using infusion pumps and syringe pumps. The occlusion limit set is ≤20 PSI according to ECRI. The presence of occlusion in the infusion pump and syringe pump can be identified when there is an alarm buzzer which will sound when a blockage is detected. A 1 Channel Portable Infusion Device Analyzer has been designed using the SKU 237545 Sensor, namely by using a 1 channel flowrate and occlusion sensor and making it portable to be efficient. For this reason, it is necessary to analyze the performance of the tools that have been created. How accurate is it? From the results of performance testing, Oclusion was corrected at 0.242 psi and 0.3 Psi. For flow rate, the largest correction was 2.4 ml/hour and the uncertainty was 6,046 ml/hour. This shows that the accuracy of the design is still quite high and the resulting tool is still not stable, this can be seen from the uncertainty value. The uncertainty that occurs is likely due to the sensitivity of the droplet sensor related to the detection time of the droplet

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References

BRENDA, “Infusion-Device-Analyzer-1996.Pdf.” 1996.

E. Batista, J. Alves E Sousa, A. Ribeiro, L. Martins, M. Pereira, and H. Navas, “Calibration of Infusion Pumps Analyser,” J. Phys. Conf. Ser., vol. 1065, no. 9, 2018, doi: 10.1088/1742-6596/1065/9/092003.

ECRI, “Inspection and Preventive Maintenance System,” 3rd ed., ECRI, Plymouth Meet. PA, vol. 1, no. 610, p. 200, 1995.

E. Batista, I. Godinho, M. Do Céu Ferreira, A. Furtado, P. Lucas, and C. Silva, “Comparison of infusion pumps calibration methods,” Meas. Sci. Technol., vol. 28, no. 12, pp. 0–5, 2017, doi: 10.1088/1361-6501/aa8474.

M. A. Hamilton, M. Cecconi, and A. Rhodes, “A systematic review and meta-analysis on the use of preemptive hemodynamic intervention to improve postoperative outcomes in moderate and high-risk surgical patients,” Anesth. Analg., vol. 112, no. 6, pp. 1392–1402, 2011, doi: 10.1213/ANE.0b013e3181eeaae5.

D. F. Chau, T. Vasilopoulos, M. Schoepf, C. Zhang, and B. G. Fahy, “Syringe Pump Performance Maintained with IV Filter Use During Low Flow Rate Delivery for Pediatric Patients,” vol. XXX, no. Xxx, pp. 1–10, 2016, doi: 10.1213/ANE.0000000000001273.

M. S. V. Appaji, G. S. Reddy, S. Arunkumar, and M. Venkatesan, “An 8051 Microcontroller based Syringe Pump Control System for Surface Micromachining,” Procedia Mater. Sci., vol. 5, no. December 2014, pp. 1791–1800, 2014, doi: 10.1016/j.mspro.2014.07.391.

P. Zhang, S.-Y. Wang, C.-Y. Yu, and M.-Y. Zhang, “Design of occlusion pressure testing system for infusion pump,” J. Biomed. Sci. Eng., vol. 02, no. 06, pp. 431–434, 2009, doi: 10.4236/jbise.2009.26062.

A. Dönmez, C. Araz, and Z. Kayhan, “Syringe pumps take too long to give occlusion alarm,” Paediatr. Anaesth., vol. 15, no. 4, pp. 293–296, 2005, doi: 10.1111/j.1460-9592.2005.01436.x.

Junaidi et al., “Flow Rate and Volume Control of Fluid Based on Arduino for Synthesis of Silver Nanowires,” J. Phys. Conf. Ser., vol. 1338, no. 1, 2019, doi: 10.1088/1742-6596/1338/1/012018.

P. Ajmera, “A Review Paper on Infrared sensor,” Int. J. Eng. Res. Technol., vol. 5, no. 23, pp. 1–3, 2018, [Online]. Available: http://www.engpaper.com/infrared-sensor.htm

H. Elkheshen, I. Deni, A. Baalbaky, M. Dib, L. Hamawy, and M. A. Ali, “Semi-Automated Self-Monitore-Syringe Infusion Pump,” 2018 Int. Conf. Comput. Appl. ICCA 2018, pp. 331–335, 2018, doi: 10.1109/COMAPP.2018.8460462.

R. Assuncao et al., “Developing the control system of a syringe infusion pump,” Proc. 2014 11th Int. Conf. Remote Eng. Virtual Instrumentation, REV 2014, no. February 2014, pp. 254–255, 2014, doi: 10.1109/REV.2014.6784270.

L. Louis, “Working Principle of Arduino and Using it as a Tool for Study and Research,” Int. J. Control. Autom. Commun. Syst., vol. 1, no. 2, pp. 21–29, 2016, doi: 10.5121/ijcacs.2016.1203.

M. Cannesson, G. Pestel, C. Ricks, A. Hoeft, and A. Perel, “Hemodynamic monitoring and management in patients undergoing high risk surgery: A survey among North American and European anesthesiologists,” Crit. Care, vol. 15, no. 4, 2011, doi: 10.1186/cc10364.

J. V Alamelu and A. Mythili, “Examination of Control Parameters for Medical Grade Insulin Pump,” Int. J. Eng. Adv. Technol., vol. 9, no. 1S3, pp. 19–22, 2019, doi: 10.35940/ijeat.a1005.1291s319.

R. Assuncao et al., “Developing the control system of a syringe infusion pump,” Proc. 2014 11th Int. Conf. Remote Eng. Virtual Instrumentation, REV 2014, no. February, pp. 254–255, 2014, doi: 10.1109/REV.2014.6784270.

D. K. J.R*, D. C. Ganeshbabu, S. D.V, P. K, and K. S P, “A Novel System Design for Intravenous Infusion System Monitoring for Betterment of Health Monitoring System using ML- AI,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 3, pp. 2649–2655, 2020, doi: 10.35940/ijitee.c8766.019320.

O. Infusion and D. Analyzer, “One-Channel Infusion Device Analyzer,” pp. 1–3.

I. Iacovides, A. Blandford, A. Cox, B. Dean Franklin, P. Lee, and C. J. Vincent, “Infusion device standardisation and dose error reduction software,” Br. J. Nurs., vol. 23, no. 14, pp. S16–S24, 2014, doi: 10.12968/bjon.2014.23.Sup14.S16.

C. J. Rini et al., “Intradermal insulin infusion achieves faster insulin action than subcutaneous infusion for 3-day wear,” Drug Deliv. Transl. Res., vol. 5, no. 4, pp. 332–345, 2015, doi: 10.1007/s13346-015-0239-x.

H. Amano, H. Ogawa, H. Maki, S. Tsukamoto, Y. Yonezawa, and W. M. Caldwell, “A remote drip infusion monitoring system employing Bluetooth,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, pp. 2029–2032, 2012, doi: 10.1109/EMBC.2012.6346356.

P. E. Mancene and A. E. Lynch, “Injection Pump Calibrator Device,” no. 19, p. 4, 1991.

W. Zeng, S. Li, and Z. Wang, “Characterization of syringe-pump-driven versus pressure-driven microfluidic flows,” Proc. 2015 Int. Conf. Fluid Power Mechatronics, FPM 2015, pp. 711–715, 2015, doi: 10.1109/FPM.2015.7337207.

A. Tavakoli Golpaygani, M. M. Movahedi, M. Reza, and K. Hassani, “A study on performance and safety test of infusion pump devices,” Biomed. Res., vol. 28, no. 12, pp. 5179–5181, 2017.

Y. A. Anggraini, A. Pudji, and M. Ridha, “Low-Cost Infusion Device Analyzer With Occlusion Pressure Parameter Test,” Teknokes, vol. 2, no. 1, pp. 26–33, 2020.

Published
2023-11-23
How to Cite
[1]
S. Syaifudin and T. Rahmawati, “Design Analysis of Portable 1 Channel Infusion Device Analyzer Using Sensor SKU 237545”, Teknokes, vol. 16, no. 4, pp. 255-259, Nov. 2023.
Section
Biomedical Engineering