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Mobile nocturnal long-term monitoring of wheezing and cough

  • Volker Gross , Christian Reinke , Frank Dette , Roland Koch , Dragos Vasilescu , Thomas Penzel and Ulrich Koehler
Published/Copyright: February 22, 2007
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Biomedical Engineering / Biomedizinische Technik
From the journal Volume 52 Issue 1

Abstract

Changes in normal lung sounds are an important sign of pathophysiological processes in the bronchial system and lung tissue. For the diagnosis of bronchial asthma, coughing and wheezing are important symptoms that indicate the existence of obstruction. In particular, nocturnal long-term acoustic monitoring and assessment make sense for qualitative and quantitative detection and documentation. Previous methods used for lung function diagnosis require active patient cooperation that is not possible during sleep. We developed a mobile device based on the CORSA standard that allows the recording of respiratory sounds throughout the night. To date, we have recorded 133 patients with different diagnoses (80 male, 53 female), of whom 38 were children. In 68 of the patients we could detect cough events and in 87 we detected wheezing. The recording method was tolerated by all participating adults and children. Our mobile system allows non-invasive and cooperation-independent nocturnal monitoring of acoustic symptoms in the domestic environment, especially at night, when most ailments occur.


Corresponding author: Volker Gross, Klinik für Innere Medizin, Schwerpunkt Pneumologie, Philipps-Universität Marburg, Baldingerstrasse, 35033 Marburg, Germany Phone: +49-6421-2862992 Fax: +49-6421-2865450

References

[1] Earis JE, Cheetham BMG. Current methods used for computerized respiratory sound analysis. Eur Respir Rev2000; 10: 586–590.Search in Google Scholar

[2] Gavriely N, Palty Y, Alroy G, Grotberg JB. Measurement and theory of wheezing breath sounds. J Appl Physiol1984; 57: 481–492.10.1152/jappl.1984.57.2.481Search in Google Scholar

[3] Geisler L. Nächtliches Asthma. Dtsch Med Wschr1992; 117: 869–874.10.1055/s-2008-1062388Search in Google Scholar

[4] Gross V, Fachinger P, Penzel T, Koehler U, von Wichert P, Vogelmeier C. Detection of bronchial breathing caused by pneumonia. Biomed Tech2002; 47: 146–150.10.1515/bmte.2002.47.6.146Search in Google Scholar

[5] Gross V, Koehler U, Penzel T, Reinke C, von Wichert P, Vogelmeier C. Der Einfluss der subkutanen Fettschicht auf die normalen Lungengeräusche. Biomed Tech2003; 48: 146–150.10.1515/bmte.2002.47.6.146Search in Google Scholar

[6] Gross V, Reinke C, Hadjileontiadis LJ, Penzel T, Koehler U, Vogelmeier C. Validated lung sound database. Eur Respir J2003; 22 (Suppl): 446–447.Search in Google Scholar

[7] Koehler U, Gross V, Reinke C, Penzel T, Vogelmeier CF. Acoustic analysis of nocturnal bronchial obstruction. Pneumologie2002; 56: 19–24.10.1055/s-2002-19569Search in Google Scholar

[8] Koehler U, Gross V, Reinke C, Penzel T, Vogelmeier CF. Nocturnal long-term recording of breath sounds in patients with bronchial asthma – a reasonable diagnostic option? Pneumologie2005; 59: 872–878.10.1055/s-2005-919068Search in Google Scholar

[9] Pasterkamp H, Kraman SS, Wodicka GR. Respiratory sound – advances beyond the stethoscope. Am J Respir Crit Care Med1997; 156: 974–987.10.1164/ajrccm.156.3.9701115Search in Google Scholar

[10] Sovijärvi ARA, Malmberg LP, Charbonneau G, et al. Characteristics of breath sounds and adventitious respiratory sounds. Eur Respir Rev2000; 10: 591–596.Search in Google Scholar

[11] Turner-Warwick M. Epidemiology of nocturnal asthma. Am J Med1988; 85: 6–8.10.1016/0002-9343(88)90231-8Search in Google Scholar

Published Online: 2007-02-22
Published in Print: 2007-02-01

©2007 by Walter de Gruyter Berlin New York

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