Analysis of Respiratory Sounds: State of the Art
Objective This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds. Methods and material Review of the current medical and technological literature using Pubmed and personal experience. Results The study includes a d...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2008-01-01
|
Series: | Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine |
Online Access: | https://doi.org/10.4137/CCRPM.S530 |
id |
doaj-4e8cc5aa0a0240b59a7133ddd4e963c4 |
---|---|
record_format |
Article |
spelling |
doaj-4e8cc5aa0a0240b59a7133ddd4e963c42020-11-25T01:27:33ZengSAGE PublishingClinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine1179-54842008-01-01210.4137/CCRPM.S530Analysis of Respiratory Sounds: State of the ArtSandra Reichert0Raymond Gass1Christian Brandt2Emmanuel Andrès3Alcatel-Lucent, Chief Technical Office, Strasbourg, France.Alcatel-Lucent, Chief Technical Office, Strasbourg, France.Head of the Cardiology Department, Clinique Médicale B, CHRU Strasbourg, Strasbourg, France.Head of the Internal Medicine Department, Clinique Médicale B, CHRU Strasbourg, Strasbourg, France.Objective This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds. Methods and material Review of the current medical and technological literature using Pubmed and personal experience. Results 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. Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms… Conclusion The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.https://doi.org/10.4137/CCRPM.S530 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra Reichert Raymond Gass Christian Brandt Emmanuel Andrès |
spellingShingle |
Sandra Reichert Raymond Gass Christian Brandt Emmanuel Andrès Analysis of Respiratory Sounds: State of the Art Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine |
author_facet |
Sandra Reichert Raymond Gass Christian Brandt Emmanuel Andrès |
author_sort |
Sandra Reichert |
title |
Analysis of Respiratory Sounds: State of the Art |
title_short |
Analysis of Respiratory Sounds: State of the Art |
title_full |
Analysis of Respiratory Sounds: State of the Art |
title_fullStr |
Analysis of Respiratory Sounds: State of the Art |
title_full_unstemmed |
Analysis of Respiratory Sounds: State of the Art |
title_sort |
analysis of respiratory sounds: state of the art |
publisher |
SAGE Publishing |
series |
Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine |
issn |
1179-5484 |
publishDate |
2008-01-01 |
description |
Objective This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds. Methods and material Review of the current medical and technological literature using Pubmed and personal experience. Results 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. Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms… Conclusion The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools. |
url |
https://doi.org/10.4137/CCRPM.S530 |
work_keys_str_mv |
AT sandrareichert analysisofrespiratorysoundsstateoftheart AT raymondgass analysisofrespiratorysoundsstateoftheart AT christianbrandt analysisofrespiratorysoundsstateoftheart AT emmanuelandres analysisofrespiratorysoundsstateoftheart |
_version_ |
1725104694896885760 |