Literature DB >> 17271132

Analysis of wheezes in asthmatic patients during spontaneous respiration.

R Jané1, S Cortés, J A Fiz, J Morera.   

Abstract

Respiratory sound analysis can offer important information related to pulmonary diseases. Wheezes have been reported as adventitious respiratory sounds in asthmatic or obstructive patients, during forced exhalation maneuvers. In this work, we propose a method for analysis of respiratory sounds in frequency domain, during spontaneous ventilation. Two databases were analyzed: signals acquired during spirometry (DBspir), composed by 23 subjects (N=15 asthmatics, N=8 control); and signals acquired during spontaneous ventilation for 120 seconds (DBsv), composed by 26 asthmatics. Using an autoregressive model (AR, order 16), it was calculated the Power Spectral Density (PSD) for each expiration and the peak frequency (fp) was estimated. Higher values of fp were found in asthmatic patients with severe obstruction in relation to light obstruction or control subjects. The effect of bronchodilator inhalation in asthmatic patients was studied in the database DBsv, analyzing contribution of wheezes in the bandwidth 600-2000 Hz (HFband)., Differences of number of respiratory cycles with wheezes (Dwheez index), before and after bronchodilator inhalation were evaluated. It was found a good correlation between Dwheez and FEV1% improvement (FEV1>%_imp), for FEV1%_imp > 10%. This method could predict the FEV1%_imp by means of estimation of Dwheez index during spontaneous ventilation.

Entities:  

Year:  2004        PMID: 17271132     DOI: 10.1109/IEMBS.2004.1404074

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Monitoring of breathing phases using a bioacoustic method in healthy awake subjects.

Authors:  Hisham Alshaer; Geoffrey R Fernie; T Douglas Bradley
Journal:  J Clin Monit Comput       Date:  2011-09-29       Impact factor: 2.502

2.  An automated computerized auscultation and diagnostic system for pulmonary diseases.

Authors:  Ali Abbas; Atef Fahim
Journal:  J Med Syst       Date:  2009-06-26       Impact factor: 4.460

3.  A survey on automated wheeze detection systems for asthmatic patients.

Authors:  Syamimi Mardiah Shaharum; Kenneth Sundaraj; Rajkumar Palaniappan
Journal:  Bosn J Basic Med Sci       Date:  2012-11       Impact factor: 3.363

4.  Distance-Based Detection of Cough, Wheeze, and Breath Sounds on Wearable Devices.

Authors:  Bing Xue; Wen Shi; Sanjay H Chotirmall; Vivian Ci Ai Koh; Yi Yang Ang; Rex Xiao Tan; Wee Ser
Journal:  Sensors (Basel)       Date:  2022-03-10       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.