Literature DB >> 4028846

Lung sound analysis for continuous evaluation of airflow obstruction in asthma.

R P Baughman, R G Loudon.   

Abstract

We developed a system for monitoring airflow obstruction noninvasively, based on the principle that the proportion of the breath cycle occupied by wheezing (Tw/Ttot) in any one subject corresponds to the severity of airways obstruction. Lung sounds were recorded continuously from the chest wall. Fifty 250 ms sound segments were randomly chosen from five-minute periods and analyzed for the presence or absence of wheezes. The proportion with wheezes was used as an estimate of Tw/Ttot (Est Tw/Ttot). For 12 wheezy patients, there was a good correlation between the Est Tw/Ttot and the forced expiratory volume in one second (r = 0.893, p less than 0.001). The system was used to evaluate nocturnal asthma. Five subjects were studied over eight nights. It was found that there was more wheezing from 4:00 to 4:30 AM than from midnight to 12:30 AM (p less than 0.05). This technique may prove useful in continuous, noninvasive monitoring of wheezy patients.

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Year:  1985        PMID: 4028846     DOI: 10.1378/chest.88.3.364

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  11 in total

1.  Lung sounds.

Authors:  J Earis
Journal:  Thorax       Date:  1992-09       Impact factor: 9.139

2.  Effect of methacholine induced bronchoconstriction on the spectral characteristics of breath sounds in asthma.

Authors:  D P Spence; S Bentley; D H Evans; M D Morgan
Journal:  Thorax       Date:  1992-09       Impact factor: 9.139

3.  Toolkit for lung sound analysis.

Authors:  T Rosqvist; E Paajanen; K Kallio; H M Rajala; T Katila; P Piirilä; P Malmberg; A Sovijärvi
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

4.  Evaluation of nocturnal bronchoconstriction by all night tracheal sound monitoring.

Authors:  C Lenclud; G Cuttitta; D Van Gansbeke; A Visconti; A Van Muylem; V Bellia; J C Yernault
Journal:  Thorax       Date:  1996-07       Impact factor: 9.139

5.  Computerised respiratory sounds can differentiate smokers and non-smokers.

Authors:  Ana Oliveira; Ipek Sen; Yasemin P Kahya; Vera Afreixo; Alda Marques
Journal:  J Clin Monit Comput       Date:  2016-05-10       Impact factor: 2.502

6.  Wheeze sound characteristics are associated with nighttime sleep disturbances in younger children.

Authors:  Chizu Habukawa; Naoto Ohgami; Naoki Matsumoto; Kenji Hashino; Kei Asai; Tetsuya Sato; Katsumi Murakami
Journal:  Asia Pac Allergy       Date:  2020-07-13

7.  Patterns of asthma control perception in adolescents: associations with psychosocial functioning.

Authors:  Hyekyun Rhee; Michael J Belyea; Kurtis S Elward
Journal:  J Asthma       Date:  2008-09       Impact factor: 2.515

8.  Evaluating the Validity of an Automated Device for Asthma Monitoring for Adolescents: Correlational Design.

Authors:  Hyekyun Rhee; Michael J Belyea; Mark Sterling; Mark F Bocko
Journal:  J Med Internet Res       Date:  2015-10-16       Impact factor: 5.428

9.  An unidentified monster in the bed--assessing nocturnal asthma in children.

Authors:  Darrell Ginsberg
Journal:  Mcgill J Med       Date:  2009-01

10.  Computerized acoustic assessment of treatment efficacy of nebulized epinephrine and albuterol in RSV bronchiolitis.

Authors:  Raphael Beck; Nael Elias; Shay Shoval; Naveh Tov; Gil Talmon; Simon Godfrey; Lea Bentur
Journal:  BMC Pediatr       Date:  2007-06-02       Impact factor: 2.125

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