Literature DB >> 9035195

Chest surface mapping of lung sounds during methacholine challenge.

H Pasterkamp1, R Consunji-Araneta, Y Oh, J Holbrow.   

Abstract

Wheeze as an indicator of airway obstruction during bronchoprovocation lacks sensitivity. We therefore studied whether induced airway narrowing is revealed by changes in normal (vesicular) lung sounds. Fifteen subjects with asthma and nine healthy controls, aged 8-16 years, performed a standardized methacholine challenge. Respiratory sounds were recorded with eight contact sensors, placed posteriorly over the right and left superior and basal lower lobes, and anteriorly over both upper lobes, the right middle lobe, and the trachea. Average spectra of normal inspiratory and expiratory sounds, excluding wheeze, were characterized in 12 asthmatics and 9 controls at flows of 1 +/- 0.2 L/sec. Airway narrowing was accompanied by significant changes in lung sounds, but not in tracheal sounds. Lung sounds showed a decrease in power at low frequencies during inspiration and an increase in power at high frequencies during expiration. These changes already occurred at a decrease in forced expiratory volume in 1 sec of less than 10% from baseline and were fully reversed after inhalation of salbutamol. Thus, lung sounds were sensitive to changes in airway caliber, but were not specific indicators of bronchial hyperresponsiveness.

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Year:  1997        PMID: 9035195     DOI: 10.1002/(sici)1099-0496(199701)23:1<21::aid-ppul3>3.0.co;2-s

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


  11 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.  Computerised acoustical respiratory phase detection without airflow measurement.

Authors:  Z K Moussavi; M T Leopando; H Pasterkamp; G Rempel
Journal:  Med Biol Eng Comput       Date:  2000-03       Impact factor: 2.602

3.  Respiratory acoustic thoracic imaging (RATHI): assessing deterministic interpolation techniques.

Authors:  S Charleston-Villalobos; S Cortés-Rubiano; R González-Camarena; G Chi-Lem; T Aljama-Corrales
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

4.  Combining neural network and genetic algorithm for prediction of lung sounds.

Authors:  Inan Güler; Hüseyin Polat; Uçman Ergün
Journal:  J Med Syst       Date:  2005-06       Impact factor: 4.460

5.  Experimental and Computational Models for Simulating Sound Propagation Within the Lungs.

Authors:  S Acikgoz; M B Ozer; T J Royston; H A Mansy; R H Sandler
Journal:  J Vib Acoust       Date:  2008-04       Impact factor: 1.583

6.  Asymmetry of respiratory sounds and thoracic transmission.

Authors:  H Pasterkamp; S Patel; G R Wodicka
Journal:  Med Biol Eng Comput       Date:  1997-03       Impact factor: 2.602

7.  A comprehensive computational model of sound transmission through the porcine lung.

Authors:  Zoujun Dai; Ying Peng; Brian M Henry; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2014-09       Impact factor: 1.840

8.  Experimental and Computational Studies of Sound Transmission in a Branching Airway Network Embedded in a Compliant Viscoelastic Medium.

Authors:  Zoujun Dai; Ying Peng; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Sound Vib       Date:  2015-03-17       Impact factor: 3.655

9.  Diagnostic potential in state space parameters of lung sounds.

Authors:  January Gnitecki; Zahra Moussavi; Hans Pasterkamp
Journal:  Med Biol Eng Comput       Date:  2007-10-16       Impact factor: 2.602

10.  Reproducibility of dynamically represented acoustic lung images from healthy individuals.

Authors:  T M Maher; M Gat; D Allen; A Devaraj; A U Wells; D M Geddes
Journal:  Thorax       Date:  2007-11-16       Impact factor: 9.139

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