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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

Analysis of Respiratory Sounds: State of the Art

TL;DR: The study includes a description of the various techniques that are being used to collect auscultation sounds, a physical description of known pathologic sounds for which automatic detection tools were developed, and a search for new markers to increase the efficiency of decision aid algorithms and tools.
Journal ArticleDOI

Wheeze detection based on time-frequency analysis of breath sounds

TL;DR: An automatic technique for wheeze detection and monitoring using spectral analysis and the experimental and testing results justified the efficient performance and high noise robustness of the TF-WD.

Definition of terms for applications of respiratory sounds

TL;DR: The terms collected in this paper of the ComputerizedRespiratory Sound Analysis (CORSA) guidelines includeterms of respiratory diseases, pulmonary physiology, acoustics, automatic data handling and instrumentation, as well as general terms that have not yet been definedclearly in the literature, or deﷁned in a controversial way.
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Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection.

TL;DR: A wearable and wireless breathing sound monitoring system for real-time wheeze detection and a breathing sounds analysis algorithm was designed to continuously extract and analyze the features of breathingSounds to provide the objectively quantitative information of breathing sounds to professional physicians.
References
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Journal Article

Method for respiratory sound analysis.

TL;DR: In this article, a system for the analysis of respiratory sounds by means of a dual-channel sound envelope detector and a real-time spectrum analyzer is described, which can extract useful information from the sounds of respiration.
Journal ArticleDOI

Acoustical studies on respiratory sounds in asthmatic patients.

TL;DR: Changes in the breathing sounds such as stridor and dry and wet rales in asthmatic patients were studied and resonance of either bronchial wall or highly viscous sputum was considered to be responsible for the sonorous rales.
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