Research active posterior rhinomanometry tomography method for nasal breathing determining violations
Avrunin O.G. Nosova Y.V. Abdelhamid I.Y. Pavlov S.V. Shushliapina N.O. Bouhlal N.A. Ormanbekova A. Iskakova A. Harasim D.
December-2 2021MDPI
Sensors
2021#21Issue 24
This study analyzes the existing methods for studying nasal breathing. The aspects of verifying the results of rhinomanometric diagnostics according to the data of spiral computed to-mography are considered, and the methodological features of dynamic posterior active rhinoma-nometry and the main indicators of respiration are also analyzed. The possibilities of testing respiratory olfactory disorders are considered, the analysis of errors in rhinomanometric measurements is carried out. In the conclusions, practical recommendations are given that have been developed for the design and operation of tools for functional diagnostics of nasal breathing disorders. It is advisable, according to the data of dynamic rhinomanometry, to assess the functioning of the nasal valve by the shape of the air flow rate signals during forced breathing and the structures of the soft palate by the residual nasopharyngeal pressure drop. It is imperative to take into account not only the maximum coefficient of aerodynamic nose drag, but also the values of the pressure drop and air flow rate in the area of transition to the turbulent quadratic flow regime. From the point of view of the physiology of the nasal response, it is necessary to look at the dynamic change to the current mode, given the hour of the forced response, so that it will ensure the maximum possible acidity in the legend. When planning functional rhinosurgical operations, it is necessary to apply the calculation method using computed tomography, which makes it possible to predict the functional result of surgery.
Chronic respiratory disease , CT , Human health , Nasal airways , Public health , Rhinoma-nometry
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Department of Biomedical Engineering, Faculty of Electronic and Biomedical Engineering, National University of Radio Electronics, Kharkiv, 61166, Ukraine
Department of Biomedical Engineering, Vinnytsia National Technical University, Vinnytsia, 21021, Ukraine
Department of Otorhinolaryngology, Stomatological Faculty, Kharkiv National Medical University, Kharkiv, 61022, Ukraine
Azov Maritime Institute, National University “Odessa Maritime Academy”, Odessa, 65000, Ukraine
Faculty of Information Technology, Al‐Farabi Kazakh National University, Al‐Farabi Avenue 71, Almaty, 050040, Kazakhstan
Institute of Automation and Information Technologies, Satbayev University, Satpaev Street 22, Almaty, 050000, Kazakhstan
Faculty of Electrical Engineering and Computer Science, Institute of Electronic and Information Technologies, Lublin University of Technology, Lublin, 20‐618, Poland
Department of Biomedical Engineering
Department of Biomedical Engineering
Department of Otorhinolaryngology
Azov Maritime Institute
Faculty of Information Technology
Institute of Automation and Information Technologies
Faculty of Electrical Engineering and Computer Science
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