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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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Bibliografia
  • 1. Gutkowski P., Lubiński W., Zielonka T.: The spirometry. Medical Tribune, Warszawa 2005, (in Polish).
  • 2. Holcroft C., Eisen E., Sama S.: Measurement characteristics of peak expiratory flow. Chest 2003, 124, 501-510.
  • 3. Miller W., Wu N., Johnson R.: Convenient method of evaluating pulmonary ventilatory function with single breath test. Anesthesiology 1956, 17, 480-483.
  • 4. Quanjer P., Tammeling J., Cotes J.: Long volumes and forced ventilatory flows: report of working party, standardization of lung function tests. Eur. Respir. J. 1993, 6, 5-40.
  • 5. Kuziemski K., Jassem E.: The assessment of the respiratory system in the medical practice. Via Medica, Gdańsk 2005, (in Polish).
  • 6. Standardized lung function testing. Official statement of the European Respiratory Society. Eur. Respir. J. 1993, Suppl 16, 1-100.
  • 7. Spirometry recommendations of the Polish Ftyzjopneumonological Society, Pneumonologia i Alergologia Polska 2004/72, Suppl 2, 1-32, (in Polish).
  • 8. Kowalski J., Koziorowski A., Radwan L.: The assessment of the respiratory system in the lung disease. Borgis, Warszawa 2004, (in Polish).
  • 9. Kalicka R., Słomiński W., Kuziemski K.: Modelling of spirometry. Diagnostic usefulness of model parameters, The IEEE Region 8 Eurocon Conference, Warsaw 2007, 2137-2143.
  • 10. Kalicka R., Słomiński W., Kuziemski K.: Modelling of the spirometry measurements. XV Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna, Wrocław 2007, 100-104, (in Polish Wykorzystanie wyników modelowania do interpretacji badań spirometrycznych).
  • 11. Ku Harry: Notes on the Use of Propagation of Error Formulas. J. Research of National Bureau of Standards-C. Engineering and Instrumentation, 1966, Vol. 70C, 4, 263-273.
  • 12. www.summittechnologies.ca.
  • 13. www.viasyshealthcare.com.
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bwmeta1.element.baztech-article-BPZ1-0045-0018
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