Risk prediction of medical equipment based on fuzzy processing of measuring information

Authors

  • Алексей Александрович Поликарпов Scientific −technical test center CBTL «UkrTEST» SE «Ukrmetrteststandart» Str. Metrologichna 4, Kyiv, Ukraine, 03680, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.16277

Keywords:

risk prediction, medical equipment, safety indexes, inaccurate model, evaluation reliability

Abstract

Modern methods for determining and prognosis of the risk of medical equipment take into account the only stochastic uncertainty in measuring information on safety index characteristics, which limit the reliability of obtained evaluation of risks possibilities.

It is shown that in the existence of linguistic uncertainty, the increase of risk evaluation accuracy and safety of medical equipment can be achieved through the development of methods for the determination and prognosis of risk on the basis of inaccurate processing of measuring information.

We propose a method for prediction the risk in incubators for newborns based on inaccurate processing of air temperature measuring data in the children's compartment. The presented results of theoretical and experimental investigations confirm the hypothesis of the possibility of increasing the reliability of the risk evaluation using inaccurate processing of measuring data on medical equipment safety.

Author Biography

Алексей Александрович Поликарпов, Scientific −technical test center CBTL «UkrTEST» SE «Ukrmetrteststandart» Str. Metrologichna 4, Kyiv, Ukraine, 03680

deputy chief of test department

References

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Published

2013-08-11

How to Cite

Поликарпов, А. А. (2013). Risk prediction of medical equipment based on fuzzy processing of measuring information. Eastern-European Journal of Enterprise Technologies, 4(3(64), 32–35. https://doi.org/10.15587/1729-4061.2013.16277

Issue

Vol. 4 No. 3(64) (2013): Control systems

Section

Control systems

License

Copyright (c) 2014 Алексей Александрович Поликарпов

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