[Statistical value of the various mathematical models in rhinomanometry].
By means of rhinomanometry, analogue physiological transnasal pressure and corresponding flow signals are simultaneously recorded during quiet nasal breathing. In order to describe the sigmoid shaped pressure/flow curves or relationship, several mathematical models have been developed. In this study, the authors wanted to demonstrate which model best describes the curvilinearity of the pressure/flow curves. By their approach, they found that polynomial models like delta p = K0 + K1V + K2V2 as well as the Broms' polar coordinate model best fit the recorded pressure/flow data. Since the parameters and exponents of such a model characterize the degree of laminar and turbulent behaviour of transnasal flow, a diagnostic potential may be offered in the future, to qualify and quantify the phenomenon of nasal obstruction.
Versnick
F
F
Dienst K.N.O., Akademisch Ziekenhuis V.U.B. en Eenheid Medische Informatica, Vrije Universiteit Brussel.
Clement
P
P
Nyssen
M
M
D006801:Humans; D008365:Manometry / Q000379:methods*; D008954:Models, Biological; D009666:Nose / Q000502:physiology*; D011312:Pressure; D012123:Pulmonary Ventilation
Statistische waarde van de verschillende mathematische modellen in de rhinomanometrie.