Methodical basics of experimental researches of functioning of infusion pumps in medicine

Authors

  • Елена Вячеславовна Булыгина National Aviation University, Ave. Komarova, 1, Kiev, Ukraine, 030680, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2015.40549

Keywords:

test, infusion pump, solution delivery speed, test results error, prediction model, artificial neural networks

Abstract

Analysis of the test results of infusion pumps that are used for administering solutions to patients in resuscitation units, intensive care units, as well as during transportation was performed in the paper. The process of drug administration in the neurohumoral system is critical, so the problem of determining the dosage accuracy of the solution volumes, administered to a patient is very important. The tests of infusion pumps to determine the dosage accuracy, according to the international standards ISO 606601-2-24 and ISO 606601-1-8 were carried out in the paper. Based on the results, conducted in clinics, the errors of the injected volumes in accordance with existing standards were calculated. As a result of data processing, the incompliance of the current dosage volumes with guidelines was found. To prevent administering a doubtful amount of drug, prediction model using artificial neural networks was developed. This model, together with a computerized information system will help to predict the unauthorized administration of drugs over time and allow the medical staff to prevent a critical situation.

Author Biography

Елена Вячеславовна Булыгина, National Aviation University, Ave. Komarova, 1, Kiev, Ukraine, 030680

Ph.D., assistant professor of medicine and aerospace biocybernetics

References

  1. Malyshev, V. D. (Ed.) (2000). Intensivnaja terapija. Reanimacija. Pervaja pomoshh'. Moscow: Medicina, 464.
  2. Infuzionnyj nasos. Available at: http://ru.wikipedia.org/wiki/Infuzionnyj_nasos#cite_ref-1
  3. TedAgres. FDA Seeking Safer Infusion Pumps (2010). Pharmacy Practice News, 37 (5), 4.
  4. International Standard IEC 60601-2-24 Medical electrical equipment part 2-24: Particular requirements for the safety of infusion pumps and controllers (2012). First Edition 1998–02. Geneva: International electrotechnical commission, 63.
  5. Infuzionnyj nasos. Opisanie izobretenija k patentu (2008). RU 2325957 C2. Opublikovano: 10.06.2008 Bjul. 16. Sankt-Peterburg: Federal'naja sluzhba po intellektual'noj sobstvennosti, patentam i tovarnym znakam: SPb.: MEDAKS AB(SE), 11.
  6. International Standard IEC 60601-1-8 Medical electrical equipment part 1-8: General requirements for basic safety and essential performance – Collateral standard: General requirements, tests and guidance for alarm systems (2012). Edition 2.1 2012–11. – Geneva: International electrotechnical commission, 187.
  7. Landi, A., Piaggi, P., Pioggia, G. (2009). Backpropagation-Based Non Linear PCA for Biomedical Applications. Intelligent Systems Designand Applications, 2, 635–640. doi: 10.1109/isda.2009.176
  8. Hai'mzon, I. I., Terenchuk, A. T. (2007). Medychni znannja ta pryjnjattja rishen' v medycyni. Vinnycja, VNTU, 180.
  9. DSTU ISO 14971:2009. Vyroby medychni. Nastanovy shhodo upravlinnja ryzykom (2012). (ISO 14971:2007, IDT): vved.2012-01-01. – Kyi'v: Derzhspozhyvstandart: K.: DP «UkrNDNC», 61.
  10. Ripley, B. D. (1994). Statistica laspects of neural networks. London.: Published by Chapman&Hall, 40–111.

Published

2015-04-20

How to Cite

Булыгина, Е. В. (2015). Methodical basics of experimental researches of functioning of infusion pumps in medicine. Eastern-European Journal of Enterprise Technologies, 2(9(74), 36–41. https://doi.org/10.15587/1729-4061.2015.40549

Issue

Section

Information and controlling system