Document Detail

Diagnosing aortic valve stenosis by correlation analysis of wavelet filtered heart sounds.
MedLine Citation:
PMID:  16255426     Owner:  NLM     Status:  MEDLINE    
Traditional auscultation performed by the general practitioner remains problematic and often gives significant results only in a late stage of heart valve disease. Valve stenoses and insufficiencies are nowadays diagnosed with accurate but expensive ultrasonic devices. This study aimed to develop a new heart sound analysis method for diagnosing aortic valve stenoses (AVS) based on a wavelet and correlation technique approach. Heart sounds recorded from 373 patients (107 AVS patients, 61 healthy controls (REF) and 205 patients with other valve diseases (OVD)) with an electronic stethoscope were wavelet filtered, and envelopes were calculated. Three correlations on the basis of these envelopes were performed: within the AVS group, between the groups AVS and REF and between the groups AVS and OVD, resulting in the mean correlation coefficients rAVS, rAVSv.REF and rAVSv.OVD. These results showed that rAVS (0.783 +/- 0.097) is significantly higher (p < 0.0001) than rAVSv.REF (0.590 +/- 0.056) and rAVSv.OVD (0.516 +/- 0.056), leading to a highly significant discrimination between the groups. The wavelet and correlation-based heart sound analysis system should be useful to general practitioners for low-cost, easy-to-use automatic diagnosis of aortic valve stenoses.
J Herold; R Schroeder; F Nasticzky; V Baier; A Mix; T Huebner; A Voss
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  43     ISSN:  0140-0118     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2005 Jul 
Date Detail:
Created Date:  2005-10-31     Completed Date:  2006-05-04     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  England    
Other Details:
Languages:  eng     Pagination:  451-6     Citation Subset:  IM    
Department of Medical Engineering, University of Applied Sciences, Jena, Germany.
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MeSH Terms
Aged, 80 and over
Aortic Valve Stenosis / diagnosis*
Early Diagnosis
Heart Auscultation / methods
Heart Murmurs / diagnosis*
Middle Aged
Signal Processing, Computer-Assisted*

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