Title :
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
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
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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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2003.820359