Automated Spectral Characterization of Wheezing in Asthmatic Children

T. Richard Fenton; Hans Pasterkamp; A. Tal; Victor Chernick

doi:10.1109/TBME.1985.325616

Automated Spectral Characterization of Wheezing in Asthmatic Children

T. Richard Fenton, Hans Pasterkamp, A. Tal, Victor Chernick

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

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.

Original language	English
Pages (from-to)	50-55
Number of pages	6
Journal	IEEE Transactions on Biomedical Engineering
Volume	BME-32
Issue number	1
DOIs	https://doi.org/10.1109/TBME.1985.325616
State	Published - 1 Jan 1985

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/TBME.1985.325616

Cite this

@article{23e01aaa6c4248ab8c287ddadec21d95,

title = "Automated Spectral Characterization of Wheezing in Asthmatic Children",

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.",

author = "Fenton, {T. Richard} and Hans Pasterkamp and A. Tal and Victor Chernick",

year = "1985",

month = jan,

day = "1",

doi = "10.1109/TBME.1985.325616",

language = "English",

volume = "BME-32",

pages = "50--55",

journal = "IEEE Transactions on Biomedical Engineering",

issn = "0018-9294",

publisher = "IEEE Computer Society",

number = "1",

}

TY - JOUR

T1 - Automated Spectral Characterization of Wheezing in Asthmatic Children

AU - Fenton, T. Richard

AU - Pasterkamp, Hans

AU - Tal, A.

AU - Chernick, Victor

PY - 1985/1/1

Y1 - 1985/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0021892126&partnerID=8YFLogxK

U2 - 10.1109/TBME.1985.325616

DO - 10.1109/TBME.1985.325616

M3 - Article

C2 - 3980029

AN - SCOPUS:0021892126

VL - BME-32

SP - 50

EP - 55

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 1

ER -

Automated Spectral Characterization of Wheezing in Asthmatic Children

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this