Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
International Journal of Fluid Mechanics Research
ESCI SJR: 0.206 SNIP: 0.446 CiteScore™: 0.5

ISSN Imprimir: 2152-5102
ISSN En Línea: 2152-5110

Volumes:
Volumen 46, 2019 Volumen 45, 2018 Volumen 44, 2017 Volumen 43, 2016 Volumen 42, 2015 Volumen 41, 2014 Volumen 40, 2013 Volumen 39, 2012 Volumen 38, 2011 Volumen 37, 2010 Volumen 36, 2009 Volumen 35, 2008 Volumen 34, 2007 Volumen 33, 2006 Volumen 32, 2005 Volumen 31, 2004 Volumen 30, 2003 Volumen 29, 2002 Volumen 28, 2001 Volumen 27, 2000 Volumen 26, 1999 Volumen 25, 1998 Volumen 24, 1997 Volumen 23, 1996 Volumen 22, 1995

International Journal of Fluid Mechanics Research

DOI: 10.1615/InterJFluidMechRes.v31.i2.60
14 pages

Effect of Physiological Features of Upper Airways on the Respiratory Sounds Characteristics

I. V. Vovk
Institute of Hydromechanics of National Academy of Sciences of Ukraine, Kyiv, Ukraine
S. L. Dakhnov
Central Military Clinical Hospital of the Ministry of Defense of Ukraine, Kyiv, Ukraine

SINOPSIS

Some physiological features of human respiratory tract important for establishing the adequate knowledge about the sources of the respiratory sounds are discussed. The understanding of peculiarities of such sound generation is necessary for creation of efficient computer systems for breath noise recording and processing intended for improvement of the respiratory diseases diagnostics. An essential multiparametric dependence of the respiratory sounds predetermines the necessity to document all these parameters in the process of measurements. One of the common parameters usually recorded in the process of measurement is the airflow rate measured with a pneumotachograph. On the basis of measuring the spread for the true glottis dimensions and estimation of the corresponding level of the respiration noise power spectrum we have shown that maintenance of predetermined airflow rate in different patients does not guarantee the same power levels of the respiratory sounds generated by airflow in the trachea.


Articles with similar content:

IMPROVING THE RELIABILITY OF RHINOMANOMETRY DIAGNOSTICS BY CONSIDERING STATISTICAL CHARACTERISTICS OF MEASURED SIGNALS
Telecommunications and Radio Engineering, Vol.73, 2014, issue 7
O. G. Avrunin
RADIO TECHNOLOGY IN BIOMEDICAL INVESTIGATION
Telecommunications and Radio Engineering, Vol.77, 2018, issue 15
O. G. Avrunin, Kh. I. Faruk, Ya. V. Nosova
Statistical Estimation of the Acoustic Parameters of a Human Respiratory Tract
International Journal of Fluid Mechanics Research, Vol.28, 2001, issue 6
V. V. Krizhanovskiy
THE USE OF SEMI-MARKOV NESTED PROCESSES FOR THE DESCRIPTION OF NON-STATIONARY ACOUSTIC NOISE
Telecommunications and Radio Engineering, Vol.78, 2019, issue 11
A. Sobolyak, I. V. Lutsenko, Y. Luo, V. I. Lutsenko, M. F. Babakov
Model Researches of a Spectral-Correlation Characteristics of the Breath Noise in Human Respiratory Tract
International Journal of Fluid Mechanics Research, Vol.28, 2001, issue 1&2
V. V. Krizhanovskiy