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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 TorryThree 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, 2003ISSN
0276-6547Publisher
IEEE Conference PublicationsExternal DOI
Page range
657-660Pages
4.0Event name
Computers in Cardiology ConferenceEvent location
Thessalonica, GreeceEvent type
conferenceISBN
0-7803-8170-XDepartment 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