RHINOMANOMETRIC SIGNAL PROCESSING FOR SELECTION OF FORMALIZED DIAGNOSTIC CRITERION IN RHINOLOGY

摘要

Current paper highlights the topical problem of rhinomanometric data handling designed to create the approach to differential diagnostics in practice. Being the important technique to explore respiratory function rhinomanometric study is complicated by the lack of formalized diagnostic criteria. Thus, the goal of the present work is to search an effective clinically significant criterion based on the rhinomanometric data. The phase portraits of rhinomanometric signals in health condition and nasal breathing disease have been analyzed. Received autocorrelation functions have shown that the process of breathing is nonrandom; there is a hidden oscillating dependence which may be caused by chaotic regime. The analysis of signal spectral power density obtained by autoregressive estimate has indicated chaotic state of nasal breathing as well. These findings permit to suggest that respiratory system may be examined as the non-linear dynamic system, and the rhinomanometric signals analysis is assumed to consider in terms of chaos theory.