The use of statistical characteristics of measured signals to increasing the reliability of the rhinomanometric diagnosis
| Autor: | Waldemar Wójcik, Natalia O. Shushliapina, Zbigniew Omiotek, Leonid Koval, Yana Nosova, Azhar Tuleshova, Sergii V. Kostishyn |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
medicine.diagnostic_test business.industry Space dimension Differential pressure 03 medical and health sciences 0302 clinical medicine Control theory 030220 oncology & carcinogenesis Probability of error Breathing medicine Rhinomanometry 030223 otorhinolaryngology business Simulation Information redundancy Reliability (statistics) |
| Zdroj: | Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2248364 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|