Heart sound analysis comparing wavelet and autoregressive techniques

Torry, John N (2003) Heart sound analysis comparing wavelet and autoregressive techniques. Computer in Cardiology, 2003. pp. 657-660. ISSN 0276-6547

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Abstract

Three different types of wavelets (Morlet, Bessel filter and Chirp) and four different types of autoregressive modelling techniques (Burg, forward, backward and modified covariance) are considered. A straightforward algorithm is suggested for all wavelet calculations. A modification is made to the standard autoregressive technique to reduce the dominance of certain peaks. The heart sounds of a set of normal patients and on a set of patients diagnosed as having aortic stenosis are investigated. After separating the sound into individual heart cycle and further separating into the four phases (S1, systolic, S2 and diastolic), the relative energy levels in different phases over a number of cycles are compared. Typical results are selected for individual cycles and show the benefit of the modified autoregressive approach.

Item Type: Article
Additional Information: Paper originally presented at the 30th Annual Meeting of Computers in Cardiology. Chalkidiki, Greece. 21-24th September, 2003.
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: John Torry
Date Deposited: 06 Feb 2012 19:19
Last Modified: 02 Jul 2012 13:04
URI: http://srodev.sussex.ac.uk/id/eprint/20045
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