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Telecommunications and Radio Engineering

Publicou 12 edições por ano

ISSN Imprimir: 0040-2508

ISSN On-line: 1943-6009

SJR: 0.185 SNIP: 0.268 CiteScore™:: 1.5 H-Index: 22

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RHINOMANOMETRIC SIGNAL PROCESSING FOR SELECTION OF FORMALIZED DIAGNOSTIC CRITERION IN RHINOLOGY

Volume 74, Edição 14, 2015, pp. 1285-1294
DOI: 10.1615/TelecomRadEng.v74.i14.50
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RESUMO

Current paper highlights the topical problem of rhinomanometric data handling designed to create the approach to differential diagnostics in practice. Being the important technique to explore respiratory function rhinomanometric study is complicated by the lack of formalized diagnostic criteria. Thus, the goal of the present work is to search an effective clinically significant criterion based on the rhinomanometric data. The phase portraits of rhinomanometric signals in health condition and nasal breathing disease have been analyzed. Received autocorrelation functions have shown that the process of breathing is nonrandom; there is a hidden oscillating dependence which may be caused by chaotic regime. The analysis of signal spectral power density obtained by autoregressive estimate has indicated chaotic state of nasal breathing as well. These findings permit to suggest that respiratory system may be examined as the non-linear dynamic system, and the rhinomanometric signals analysis is assumed to consider in terms of chaos theory.

CITADO POR
  1. Yerokhin Andriy, Nechyporenko Alina, Babii Andrii, Turuta Oleksii, Processing and analysis of rhinomanometric signals by F-transform approximation, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016. Crossref

  2. Yerokhin Andriy, Turuta Oleksii, Babii Andrii, Nechyporenko Alina, Mahdalina Ihor, Usage of phase space diagram to finding significant features of rhinomanometric signals, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT), 2016. Crossref

  3. Nechyporenko Alina, Reshetnik Viktor, Alekseeva Victoriia, Yurevych Nadiia, Nazaryan Rosana, Gargin Vitaliy, Assessment of Measurement Uncertainty of the Uncinated Process and Middle Nasal Concha in Spiral Computed Tomography Data, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 2019. Crossref

  4. Alekseeva Victoriia V., Nechiporenko Alina S., Lupyr Andrii V., Yurevych Nadiia O., Gargin Vitaliy V., A METHOD OF COMPLEX EVALUATION OF MORPHOLOGICAL STRUCTURE OF OSTIOMEATAL COMPLEX COMPONENTS, LOWER WALL OF MAXILLARY AND FRONTAL SINUSES, Wiadomości Lekarskie, 73, 12, 2020. Crossref

  5. Bulakh Vitalii, Kirichenko Lyudmyla, Radivilova Tamara, Time Series Classification Based on Fractal Properties, 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), 2018. Crossref

  6. Gargin Vitaliy, Muryzina Iryna, Shcherbina Nikolay, Nechyporenko Alina, Baryshevska Victoria, Vorobyova Olga, Alekseeva Victoriia, Relationship between bone density of paranasal sinuses and adrenal steroids pattern in women during menopausal transition, Anthropological Review, 83, 4, 2020. Crossref

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