Document Detail

Multi-channel classification of respiratory sounds.
MedLine Citation:
PMID:  17946985     Owner:  NLM     Status:  MEDLINE    
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.
C Asli Yilmaz; Yasemin P Kahya
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2006  
Date Detail:
Created Date:  2007-10-23     Completed Date:  2008-03-13     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2864-7     Citation Subset:  IM    
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MeSH Terms
Auscultation / methods*
Diagnosis, Computer-Assisted / methods*
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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