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Heart sound analysis comparing wavelet and autoregressive techniques

journal contribution
posted on 2023-06-07, 22:32 authored by John N Torry
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.

History

Publication status

  • Published

Journal

Computer in Cardiology, 2003

ISSN

0276-6547

Publisher

IEEE Conference Publications

Page range

657-660

Pages

4.0

Event name

Computers in Cardiology Conference

Event location

Thessalonica, Greece

Event type

conference

ISBN

0-7803-8170-X

Department affiliated with

  • Engineering and Design Publications

Notes

Paper originally presented at the 30th Annual Meeting of Computers in Cardiology. Chalkidiki, Greece. 21-24th September, 2003.

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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