RT Journal Article
ID 3e9cad9353602143
A1 Nechiporenko, A. S. 
T1 RHINOMANOMETRIC SIGNAL PROCESSING FOR SELECTION OF FORMALIZED DIAGNOSTIC CRITERION IN RHINOLOGY
JF Telecommunications and Radio Engineering
JO TRE
YR 2015
FD 2015-12-11
VO 74
IS 14
SP 1285
OP 1294
K1 rhinomanometry
K1 differential diagnostics
K1 nasal breathing signals,
 chaos theory
AB 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.

PB Begell House
LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,26a5e63e73996387,3e9cad9353602143.html