Literature DB >> 7204204

Spectral characteristics of normal breath sounds.

N Gavriely, Y Palti, G Alroy.   

Abstract

An objective and accurate measurement and characterization of breath sounds was carried out by a fast-Fourier-transform frequency-domain analysis. Normal vesicular breath sounds, picked up over the chest wall of 10 healthy subjects showed a characteristic pattern: the power of the signal decreased exponentially as frequency increased. Since the log amplitude vs. log frequency relationships were linear, they could be characterized by the values of the slope and the maximal frequency. The average slope of the power spectrum curves was found to be (in dB/oct +/- SD) 13.0 +/- 1.4 over the base of the right lung, 12.6 +/- 2.4 over the base of the left lung, 9.8 +/- 1.4 over the interscapular region, and 14.4 +/- 4.3 over the right anterior chest. The maximal frequencies of inspiratory and expiratory breath sounds, picked up over the base of the right lung, were (in Hz +/- SD) 446 +/- 143 and 286 +/- 53 (P less than 0.01), over the base of the left lung 475 +/- 115 and 284 +/- 47 (P less than 0.01), over the interscapular region 434 +/- 130 and 338 +/- 77 (P less than 0.05), and over the right anterior chest 604 +/- 302 and 406 +/- 205 (P less than 0.05). Breath sounds picked up over the trachea were characterized by power spectra typical to a broad spectrum sound with a sharp decrease of power at a cut-off frequency that varied between 850 and 1,600 Hz among the 10 healthy subjects studied.

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Mesh:

Year:  1981        PMID: 7204204     DOI: 10.1152/jappl.1981.50.2.307

Source DB:  PubMed          Journal:  J Appl Physiol Respir Environ Exerc Physiol        ISSN: 0161-7567


  25 in total

1.  Effect of ambient respiratory noise on the measurement of lung sounds.

Authors:  H Pasterkamp; G R Wodicka; S S Kraman
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

2.  Pneumothorax detection using computerised analysis of breath sounds.

Authors:  H A Mansy; T J Royston; R A Balk; R H Sandler
Journal:  Med Biol Eng Comput       Date:  2002-09       Impact factor: 2.602

3.  The stethoscope: some preliminary investigations.

Authors:  P D Welsby; G Parry; D Smith
Journal:  Postgrad Med J       Date:  2003-12       Impact factor: 2.401

Review 4.  The need for standards in recording and analysing respiratory sounds.

Authors:  M J Mussell
Journal:  Med Biol Eng Comput       Date:  1992-03       Impact factor: 2.602

5.  Effects of Self-Generated Noise on Estimates of Detection Threshold in Quiet for School-Age Children and Adults.

Authors:  Emily Buss; Heather L Porter; Lori J Leibold; John H Grose; Joseph W Hall
Journal:  Ear Hear       Date:  2016 Nov/Dec       Impact factor: 3.570

6.  A simple computer-based measurement and analysis system of pulmonary auscultation sounds.

Authors:  Hüseyin Polat; Inan Güler
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

7.  Distinguishing snoring sounds from breath sounds: a straightforward matter?

Authors:  Christian Rohrmeier; Michael Herzog; Tobias Ettl; Thomas S Kuehnel
Journal:  Sleep Breath       Date:  2013-06-21       Impact factor: 2.816

8.  Lung sound analysis correlates to injury and recruitment as identified by computed tomography: an experimental study.

Authors:  Antonio Vena; Christian Rylander; Gaetano Perchiazzi; Rocco Giuliani; Göran Hedenstierna
Journal:  Intensive Care Med       Date:  2011-06-29       Impact factor: 17.440

9.  Improved Detection of Lung Fluid With Standardized Acoustic Stimulation of the Chest.

Authors:  Adam Rao; Simon Chu; Neil Batlivala; Samuel Zetumer; Shuvo Roy
Journal:  IEEE J Transl Eng Health Med       Date:  2018-08-21       Impact factor: 3.316

10.  Effect of air flow and flow transducer on tracheal breath sounds.

Authors:  M J Mussell; Y Nakazono; Y Miyamoto
Journal:  Med Biol Eng Comput       Date:  1990-11       Impact factor: 2.602

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