Time-frequency detection and analysis of wheezes during forced exhalation

Author

Homs-Corbera, Antoni ; Fiz, José Antonio ; Morera, José ; Jané, Raimon

Author_Institution

Dept. of Autom. Control, Tech. Univ. of Catalonia, Barcelona, Spain

Volume

51

Issue

1

fYear

2004

Firstpage

182

Lastpage

186

Abstract

The objective of the present work was to detect and analyze wheezes by means of a highly sensitive time-frequency algorithm. Automatic measurements were compared with clinical auscultation for forced exhalation segments from 1.2 to 0 liters/second (l/s). Sensitivities between 100% and 71%, as a function of flow level related to wheezing segments detection, were achieved. Time-frequency wheeze parameters were measured for the flow range from 1.2 to 0.2 l/s. Wheezes were detected in both analyzed groups; asthmatics (N=16) and control subjects (N=15). Significant differences between groups were found for the mean number of wheezes detected at basal condition (p=0.0003). Frequency parameter differences were also significant (0.0112\n\n\t\t

Keywords

acoustic signal detection; acoustic signal processing; bioacoustics; drugs; medical signal detection; medical signal processing; patient monitoring; pneumodynamics; time-frequency analysis; Terbutaline; asthmatics; bronchodilator drug; clinical auscultation; forced exhalation; time-frequency algorithm; wheeze analysis; wheeze detection; Acoustic measurements; Acoustic signal detection; Algorithm design and analysis; Bandwidth; Biomedical engineering; Drugs; Force measurement; Lungs; Pathology; Time frequency analysis; Algorithms; Asthma; Auscultation; Cluster Analysis; Diagnosis, Computer-Assisted; Exhalation; Humans; Middle Aged; Pattern Recognition, Automated; Reproducibility of Results; Respiratory Sounds; Sensitivity and Specificity; Sound Spectrography;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2003.820359

Filename

1254008