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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...

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Autores principales: Reichert, Sandra, Gass, Raymond, Brandt, Christian, Andrès, Emmanuel
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990233/
https://www.ncbi.nlm.nih.gov/pubmed/21157521
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author Reichert, Sandra
Gass, Raymond
Brandt, Christian
Andrès, Emmanuel
author_facet Reichert, Sandra
Gass, Raymond
Brandt, Christian
Andrès, Emmanuel
author_sort Reichert, Sandra
collection PubMed
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.
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spelling pubmed-29902332010-12-14 Analysis of Respiratory Sounds: State of the Art Reichert, Sandra Gass, Raymond Brandt, Christian Andrès, Emmanuel Clin Med Circ Respirat Pulm Med Review 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. Libertas Academica 2008-05-16 /pmc/articles/PMC2990233/ /pubmed/21157521 Text en Copyright in this article, its metadata, and any supplementary data is held by its author or authors. http://creativecommons.org/licenses/by/3.0 It is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0/
spellingShingle Review
Reichert, Sandra
Gass, Raymond
Brandt, Christian
Andrès, Emmanuel
Analysis of Respiratory Sounds: State of the Art
title 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_short Analysis of Respiratory Sounds: State of the Art
title_sort analysis of respiratory sounds: state of the art
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990233/
https://www.ncbi.nlm.nih.gov/pubmed/21157521
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