The use of statistical characteristics of measured signals to increasing the reliability of the rhinomanometric diagnosis

Yana Nosova; Natalia Shushliapina; Sergii V. Kostishyn; Leonid G. Koval; Zbigniew Omiotek; Waldemar Wójcik; Azhar Tuleshova

doi:10.1117/12.2248364

28 September 2016 The use of statistical characteristics of measured signals to increasing the reliability of the rhinomanometric diagnosis

Yana Nosova, Natalia Shushliapina, Sergii V. Kostishyn, Leonid G. Koval, Zbigniew Omiotek, Waldemar Wójcik, Azhar Tuleshova

Author Affiliations +

Proceedings Volume 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016; 100312M (2016) https://doi.org/10.1117/12.2248364
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 2016, Wilga, Poland

Abstract

The article concerns the assessment of possibilities to increase the reliability of the rhinomanometry diagnosis using statistical characteristics of measured signals and corresponding differential pressure of an air flow in the nasal cavity during respiration. An original method for testing the patient's nasal breathing during forced inspiration has been proposed. It shows the influence of the space dimension of informative parameters on the diagnosis error probability. It has been proving that taking into account during the measurement experiment the dynamic modes in the operation of the diagnostic object, you can obtain the information redundancy that improves the reliability of diagnosis.

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Yana Nosova, Natalia Shushliapina, Sergii V. Kostishyn, Leonid G. Koval, Zbigniew Omiotek, Waldemar Wójcik, and Azhar Tuleshova "The use of statistical characteristics of measured signals to increasing the reliability of the rhinomanometric diagnosis", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312M (28 September 2016); https://doi.org/10.1117/12.2248364

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