Diagnosis of aortic valve stenosis by correlation analysis of wavelet filtered heart sounds
- Resource Type
- Conference
- Authors
- Voss, A.; Herold, J.; Schroeder, R.; Nasticzky, F.; Mix, A.; Ulrich, P.; Huebner, T.
- Source
- Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439) Engineering in medicine and biology society Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE. 3:2873-2876 Vol.3 2003
- Subject
- Bioengineering
Heart valves
Wavelet analysis
Cardiac disease
Cardiovascular diseases
Stethoscope
Frequency
Ear
Echocardiography
Electrocardiography
Signal analysis
- Language
- ISSN
- 1094-687X
Traditional auscultation performed by general practitioners (GP) remains problematic and often gives significant results only in a late stage of the heart valve disease. Valve stenoses and insufficiencies are nowadays diagnosed with accurate but expensive ultrasonic devices. This study is 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 81 patients (43 AVS patients, 11 healthy controls-REF and 27 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: (1) within AVS, (2) within mixed group AVS+REF and (3) within mixed group AVS+OVD leading to the mean correlation coefficients r/sub AVS/, T/sub AVS/REF/ and r/sub AVS/OVD/. The results show that r/sub AVS/ is significantly higher than r/sub AVS/REF/ and r/sub AVS/OVD/ (p