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Journal ArticleDOI

Automated Spectral Characterization of Wheezing in Asthmatic Children

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TLDR
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).
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.

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Citations
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Journal ArticleDOI

Acoustic vs. spirometric assessment of bronchial responsiveness to methacholine in children.

TL;DR: It is concluded that wheezing during MC in children strongly suggests airway hyperresponsiveness; however, wheeze detection cannot fully replace spirometry in bronchial provocation testing.
Journal ArticleDOI

Subjective assessment vs computer analysis of wheezing in asthma

TL;DR: To determine if wheezing is a reproducible clinical sign, recorded breath sounds from asthmatic patients were presented to four groups of health professionals: pediatric residents, nurses, pediatricians, and physiotherapists.
Book

Fundamentals of Respiratory System and Sounds Analysis

TL;DR: Computerized respiratory sound analysis can now quantify changes in lung sounds; make permanent records of the measurements made and produce graphical representations that help with the diagnosis and treatment of patients suffering from lung diseases.
Journal ArticleDOI

Signal processing methods for upper airway and pulmonary dysfunction diagnosis

TL;DR: Analysis of the acoustic characteristics of the thorax by sophisticated signal processing methods shows promise for assisting clinical diagnosis and closes a gap between the simple stethoscope and expensive invasive methods.
Proceedings ArticleDOI

New parameters for respiratory sound classification

TL;DR: A new approach based on cepstral analysis is proposed to classify respiratory sounds by using the vector quantization (VQ) method, which is tested and compared to other kind of features extraction like the autoregressive representation and the wavelet transform.
References
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Journal ArticleDOI

Wave-speed limitation on expiratory flow-a unifying concept.

TL;DR: The theoretical approach to the "waterfall effect" leads to selection of the analogy of constricted open-channel flow to apply to the elastic network of airway tubes, and results are derived for the case of negligible friction by use of the Bernoulli principle.
Journal ArticleDOI

Spectral characteristics of normal breath sounds.

TL;DR: Breath sounds picked up over the trachea were characterized by power spectra typical to a broad spectrum sound with a sharp decrease of power at a cut-off frequency that varied between 850 and 1,600 Hz among the 10 healthy subjects studied.
Journal ArticleDOI

Visual Lung-Sound Characterization by Time-Expanded Wave-Form Analysis

TL;DR: Time-expanded wave form analysis provides reproducible visual displays that allow documentation of the differentiating features of lung sounds and enhances the diagnostic utility of the sounds.
Journal ArticleDOI

Relationship of Wheezing to the Severity of Obstruction in Asthma

TL;DR: Although characterization of wheezing has a general relationship to the severity of airway obstruction, an objective measurement of expiratory flow rate is necessary for the evaluation of each patient's condition.
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