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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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Proceedings ArticleDOI

Wheeze Detection Using Cepstral Analysis in Gaussian Mixture Models

TL;DR: To classify normal and abnormal (wheezing) respiratory sounds using cepstral analysis in Gaussian Mixture Models, the sound signal is divided in overlapped segments, which are characterized by a reduced dimension feature vectors using Mel-Frequency cep stral coefficients.
Journal ArticleDOI

Joint Application of Audio Spectral Envelope and Tonality Index in an E-Asthma Monitoring System

TL;DR: The main contribution of this paper consists of presenting all the implementation details concerning the proposed approach for the first time, i.e., the pseudocode of the method and adjusting the values of the ASE and TI parameters after which only one (not two) FFT is required for analysis of a next overlapping signal fragment.
Journal ArticleDOI

Classification of respiratory sounds based on wavelet packet decomposition and learning vector quantization

TL;DR: In this article, a wavelet packet-based method is used for detection of abnormal respiratory sounds, where sound signal is divided into segments, and a feature vector for classification is formed using the results of the search for the best Wavelet packet decomposition.
Journal ArticleDOI

The effect of anticholinergic treatment on postexertional wheezing in asthma studied by phonopneumography and spirometry.

TL;DR: Analysis of respiratory sounds and automated quantification of wheezing may be a useful complementary test of bronchial obstruction in asthma.
Journal Article

Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.

TL;DR: The various techniques that are currently being used to collect auscultation sounds are outlined and a physical description of known pathological sounds for which automatic detection tools have been developed is provided.
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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