[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.