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Analysis of Respiratory Sounds: State of the Art
| Content Provider | SAGE Publishing |
|---|---|
| Author | Reichert, Sandra Gass, Raymond Brandt, Christian Andrès, Emmanuel |
| Copyright Year | 2008 |
| Abstract | ObjectiveThis paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds.Methods and materialReview of the current medical and technological literature using Pubmed and personal experience.ResultsThe 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…ConclusionThe next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.4137/CCRPM.S530?download=true |
| ISSN | 29768675 |
| Volume Number | 2 |
| Journal | Clinical medicine. Circulatory, respiratory and pulmonary medicine (CRA) |
| e-ISSN | 29768675 |
| DOI | 10.4137/CCRPM.S530 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2008-05-16 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © 2008 SAGE Publications. |
| Subject Keyword | signal processing auscultation multilayer perception state of the art respiratory phase detection artificial neural networks crackles wheezes spectral analysis respiratory phase classification fuzzy rule base identification system wavelet genetic algorithm respiratory sounds |
| Content Type | Text |
| Resource Type | Article |