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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v73.i7.70
pages 647-655

IMPROVING THE RELIABILITY OF RHINOMANOMETRY DIAGNOSTICS BY CONSIDERING STATISTICAL CHARACTERISTICS OF MEASURED SIGNALS

O. G. Avrunin
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine

RÉSUMÉ

Current paper describes the technique of automated analysis based on the rhinomanometric diagnostics, as well as the possible ways to improve the reliability of measuring technique by optimization of algorithmic model to express-monitoring of nasal breathing. Our results have shown the applicability of suggested techniques − variance and piecewise regression transformations of dynamic signals − to obtain additional informative parameters under the time limit biological observation. It has been practically revealed that space dimension of informative parameters affects on the error probability of diagnostics. The value of proposed technique is that it permits to study the influence of individual characteristics of the patient's breathing on rhinomanometry results, and to improve automated diagnosis during respiratory testing.

RÉFÉRENCES

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  2. Mintser, O.P. , (2008), Development of medical technology: the problems and logic.

  3. Sokol, E.I., Kipenskiy, A.V., and Vereschak V.A. , (2006), Engineering problems of the health system in Ukraine and prospects for their solutions.

  4. Avrunin, O.G., Semenets, V.V., and Shchapov, P.F. , (2011), Comparison of discriminant characteristics of rinomanometric diagnostic methods.

  5. Ornatskiy, P.P. , (1983), Theoretical principles of information-measuring systems.

  6. Shchapov, P.F. , (2006), Metrological uncertain information signals normalization for measuring control systems of dynamic objects.

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