Referenced Items are not available for this document.
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
Published in:
Biomedical Engineering, IEEE Transactions on
(Volume:51
,
Issue:
1
)
Date of Publication: Jan. 2004
- Page(s):
- 182 - 186
- ISSN :
- 0018-9294
- INSPEC Accession Number:
- 7902324
- Digital Object Identifier :
- 10.1109/TBME.2003.820359
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 08 January 2004
- Issue Date :
- Jan. 2004
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
- PubMed ID :
- 14723508
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