| Multi-channel classification of respiratory sounds. | |
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MedLine Citation:
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PMID: 17946985 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this study, respiratory sounds of pathological and healthy subjects were analyzed via frequency spectrum and AR model parameters with a view to construct a diagnostic aid based on auscultation. Each subject is represented by 14 channels of respiratory sound data of a single respiration cycle. Two reference libraries, pathological and healthy, were built based on multi-channel respiratory sound data for each channel and for each respiration phase, inspiration and expiration, separately. A multi-channel classification algorithm using K nearest neighbor (k-NN) classification method was designed. Performances of the two classifiers using spectral feature set corresponding to quantile frequencies and 6th order AR model coefficients on inspiration and expiration phases are compared. |
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Authors:
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C Asli Yilmaz; Yasemin P Kahya |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 1 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2006 |
Date Detail:
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Created Date: 2007-10-23 Completed Date: 2008-03-13 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 2864-7 Citation Subset: IM |
Affiliation:
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Syst. & Control Eng., Bogazici Univ., Istanbul, Turkey. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Auscultation / methods* Diagnosis, Computer-Assisted / methods* Humans Neural Networks (Computer) Pattern Recognition, Automated / methods* Reproducibility of Results Respiration Disorders / diagnosis*, physiopathology* Respiratory Sounds / classification* Sensitivity and Specificity Sound Spectrography / methods* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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