Document Detail


Monitoring chronic cough: current and future techniques.
MedLine Citation:
PMID:  20923344     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Coughing produces a characteristic sound that is readily recognized by the human ear and provides the opportunity to objectively quantify coughing through acoustic recordings. The development of digital recording technologies has facilitated such recordings over the extended time periods needed to capture symptom episodes. However, the manual counting of coughs by listening to long recordings is time-consuming, laborious and restricts usage to research studies. This article outlines the challenges in recording, analyzing and quantifying cough sounds and describes the systems under development. Progress is being made towards automated algorithms to identify and count cough sounds; however, current systems have only been tested over short time periods and in limited patient groups. Further work is required to achieve broadly applicable accurate cough monitoring systems.
Authors:
Jaclyn Smith
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Expert review of respiratory medicine     Volume:  4     ISSN:  1747-6356     ISO Abbreviation:  Expert Rev Respir Med     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-10-06     Completed Date:  2011-01-21     Revised Date:  2014-02-20    
Medline Journal Info:
Nlm Unique ID:  101278196     Medline TA:  Expert Rev Respir Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  673-83     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Acoustics / instrumentation
Algorithms
Chronic Disease
Cough / diagnosis*,  physiopathology
Humans
MP3-Player
Predictive Value of Tests
Prognosis
Signal Processing, Computer-Assisted
Time Factors
Grant Support
ID/Acronym/Agency:
G0701918//Medical Research Council; //Medical Research Council

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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