Badanie spirometryczne określa jakość wentylacji płuc. Funkcjonowanie układu oddechowego oparte jest na mechanizmie wentylacji. Podstawowymi zaburzeniami układu oddechowego są zmiany o charakterze obturacyjnym, restrykcyjnym oraz mieszanym. W pracy zaprezentowano nowy model badania spirometrycznego. Estymaty parametrów modelu wyliczane są na podstawie wyników spirometrii. Parametry modelu dostarczają nowych informacji na temat kondycji układu oddechowego. Pozwalają również na jednoznaczne rozróżnienie zdrowego i chorego pacjenta. Weryfikacja, przeprowadzona za pomocą symulacji zaburzenia funkcji płuc, potwierdziła diagnostyczną przydatność parametrów modelu uzyskanych na podstawie wyniku pomiaru spirometrycznego.
EN
The spirometry measurements assess the efficiency of the pulmonary ventilation. The respiratory system functioning is based on the ventilation mechanism. The basic degradation of the patient's breathing condition are obstructive, restrictive and mixed pulmonary diseases. In this paper, a new model of the spirometry measurement is presented. The model parameter estimates are obtained on the basis of spirometry measurements. The model parameters allow obtaining the new information concerning breathing conditions. They allow distinguishing between healthy and diseased subjects. The verification, based on the disease simulation, revealed the diagnostic usefulness or model parameters obtained on the basis of spirometry measurements.
Conventional methods of testing lung functioning demand a specific respiratory action of the patient. In contrast, the forced oscillation technique (FOT) provides measurements obtained with a minimal cooperation of the subject. The aim of this study is to verify the usefulness of the forced oscillation technique modelling in respiratory system diagnosing. In order to do this two models of FOT measurements have been considered: the four-parameter model (4p) and the six-parameter model (6p). The question is whether the models' parameter estimates can be accepted for diagnostic purposes. To answer the question the parameter estimates and their precision were calculated and the results obtained were confronted with the parameter values in population of healthy patients and for patients with lung diseases. The results obtained showed that the FOT measurements and modelling allow us to achieve such parameter estimates that could be applied for diagnostic purposes. Precision and accuracy of the parameter estimates are sufficiently good for unmistakable distinguishing between healthy and diseased subjects.
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The paper presents a new model of respiratory mechanism based on the spirometry measurements. The spirometry test assesses efficiency of the lung ventilation. The respiratory system functioning is based on the ventilation mechanism. Thus the quality of the lung depends on the quality of lung ventilation. Respiratory system modelling supports a diagnostic process. The model parameter estimates are obtained on the basis of the spirometry test results. The model parameters enable us to obtain the new information concerning breathing conditions. These parameters make it also possible to distinguish between healthy and diseased subjects. The spirometry measurement model presents itself as a new diagnostically helpful aid.
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