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Proceedings Paper

The use of statistical characteristics of measured signals to increasing the reliability of the rhinomanometric diagnosis
Author(s): Yana Nosova; Natalia Shushliapina; Sergii V. Kostishyn; Leonid G. Koval; Zbigniew Omiotek; Waldemar Wójcik; Azhar Tuleshova
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Paper 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.

Paper Details

Date Published: 28 September 2016
PDF: 8 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100312M (28 September 2016); doi: 10.1117/12.2248364
Show Author Affiliations
Yana Nosova, Kharkiv National Univ. of Radio Electronics (Ukraine)
Natalia Shushliapina, Kharkiv National Medical Univ. (Ukraine)
Sergii V. Kostishyn, Vinnytsia National Technical Univ. (Ukraine)
Leonid G. Koval, Vinnytsia National Technical Univ. (Ukraine)
Zbigniew Omiotek, Lublin Univ. of Technology (Poland)
Waldemar Wójcik, Lublin Univ. of Technology (Poland)
Azhar Tuleshova, Al-Farabi Kazakh National Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

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