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A Tiano

Publications and source records attributed to A Tiano.

2 recordsLinked to original sources

Identification and parameter estimation of the mechanical ventilatory system.

Oesophageal pressure and mouth volume were measured by oesophageal balloon and pneumotachography, respectively, in 10 men (both normal and diseases) under different experimental conditions, i.e. spontaneous ventilation, quasi-static manoeuvres and respiration at high frequencies. The recorded data were then analyzed by an identification and parameter estimation computer programme, to determine a mathematical model for the process. Contrary to other recently published papers dealing with frequency analysis, we studied a time-dependent model, represented by a linear time-invariant differential equation. The results were quite satisfactory since a relatively second-order model seems to be adequate for describing the process. Differences in the parameter values between normal and diseased subjects were characterized by increases in the patients' lung viscous component. In conclusion, our identification test results in the mechanical ventilatory system seem to indicate that a simple second-order mathematical model is consistent with the experimental data.

Adult↗

Analysis of nitrogen multibreath washout curves through a statistical approach.

A new method for analyzing nitrogen multibreath washout curves, founded on a statistical multicompartment model is presented. This method consists of two phases: (i) the preliminary conversion by mathematical means of the nitrogen end-tidal concentration curves - as usually available in routine practice - into the corresponding lung nitrogen decay curves normalized for ventilation rate and function al residual capacity and (ii) the determination of distribution function G(k) in the Laplace integral y(t) = integral of infinity,G(k)e-ktdk (where y(t) represents the experimental curve, k is the compartmental rate constant and the random variable of the statistical set). G(k) values are approximated by an accurate calculation of the distribution moments and the use of Edgeworth-Cramér series expansion. The clinical usefulness of the method was verified in normal subjects and in patients with chronic obstructive pulmonary disease. An excellent separation of the two groups was achieved by calculating the following parameters: the first moment (m1), the standard deviation (sigma) and the coefficient of dispersion (sigma/m). Besides, further information about the lung ventilation pattern could be obtained by a skillful inspection of the approximated distribution function curves of the rate constant k.

Adult↗