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Wavelet analysis and morphology for the detection of wheeze in cough sounds.

Authors
Friend-KA; Goldsmith-WT; McKinney-WG; Watkins-SA; Frazer-DG; Salahuddin-N; Petsonk-EL; Abrons-HL
Source
Proceedings of the 3rd International Workshop on Biosignal Interpretation, Chicago, IL, June 12-14, 1999. Chicago, IL: University of Illinois 1999 Jun; :326-329
Link
NIOSHTIC No.
20028095
Abstract
Wheeze detection by physicians is of practical importance in the diagnosis and management of a number of lung diseases. To optimize the utility of lung sound assessment, accurate characterization of the wheeze is essential. The goal of this study was to develop objective computer aided analysis that detected temporal location and frequency of wheeze in cough sounds through wavelet analysis and mathematical morphology.
Keywords
Lung; Breathing; Analytical-processes; Analytical-methods; Analytical-instruments; Statistical-analysis; Lung-disease; Lung-disorders; Respiratory-system-disorders; Respiratory-function-tests; Pulmonary-function-tests; Pulmonary-system-disorders; Pulmonary-disorders; Morphology
Publication Date
19990601
Document Type
Conference/Symposia Proceedings
Email Address
kdf7@cdc.gov
Fiscal Year
1999
NTIS Accession No.
NTIS Price
NIOSH Division
HELD
Source Name
Proceedings of the 3rd International Workshop on Biosignal Interpretation, Chicago, IL, June 12-14, 1999
State
WV; IL
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