Document Detail


Multi-channel classification of respiratory sounds.
MedLine Citation:
PMID:  17946985     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
C Asli Yilmaz; Yasemin P Kahya
Related Documents :
20349825 - Measurements, phantoms, and standardization.
19550615 - Tunable enhancement of a soliton spectrum using an acoustic long-period grating.
18189665 - Fast integral equation algorithm for simulation of acoustic energy transfer to the inne...
22448815 - Subgroup decomposition of plasmonic resonances in hybrid oligomers: modeling the resona...
19773845 - Characteristics of an actively mode-locked 2-psec ti:sapphire laser operating in the 1-...
25021965 - Oc-017 autofluorescence-targeted optical biopsy accurately diagnoses dysplasia in bar...
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. 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:  -    
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    
Affiliation:
Syst. & Control Eng., Bogazici Univ., Istanbul, Turkey.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
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


Previous Document:  Detection and adaptive cancellation of heart sound interference in tracheal sounds.
Next Document:  Bayesian tracking of a nonlinear model of the capnogram.