Sandra Reichert, Raymond Gass, Christian Brandt, Emmanuel Andrès
{"title":"Analysis of respiratory sounds: state of the art.","authors":"Sandra Reichert, Raymond Gass, Christian Brandt, Emmanuel Andrès","doi":"10.4137/ccrpm.s530","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds.</p><p><strong>Methods and material: </strong>Review of the current medical and technological literature using Pubmed and personal experience.</p><p><strong>Results: </strong>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…</p><p><strong>Conclusion: </strong>The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.</p>","PeriodicalId":88227,"journal":{"name":"Clinical medicine. Circulatory, respiratory and pulmonary medicine","volume":"2 ","pages":"45-58"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990233/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical medicine. Circulatory, respiratory and pulmonary medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4137/ccrpm.s530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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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