Title :
Automated Spectral Characterization of Wheezing in Asthmatic Children
Author :
Fenton, T.Richard ; Pasterkamp, Hans ; Tal, A. ; Chernick, Victor
Author_Institution :
Department of Biomedical Engineering, Health Sciences Centre and the Departments of Energy and Electrical Engineering, University of Manitoba
Abstract :
Breath sounds were recorded in normal and asthmatic children over the chest and trachea. The power spectra of the sounds were analyzed for peaks of high amplitude and high frequency as indications of wheezing. The percent of inspiration and expiration spent wheezing was used as an indication of the severity of bronchial obstruction. Wheezing was found to be strongly dependent upon air flow, and generally followed the changes in pulmonary function as indicated by the forced expiratory volume at 1 s (FEV1). The trachea was found to be a better location for analyzing wheezes than the lung.
Keywords :
Bandwidth; Biomedical engineering; Biomedical measurements; Frequency; Hospitals; Lungs; Medical diagnostic imaging; Pathology; Pediatrics; Spectral analysis; Adolescent; Asthma; Biomedical Engineering; Child; Humans; Respiratory Sounds; Sound Spectrography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1985.325616