By Topic

Modelling and processing of phonocardiogram via parametric bispectral approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shen, M.F. ; Dept. of Sci. Res., Shantou Univ., Guangdong, China ; Sun, L.S.

Proposes a modern parametric approach to bispectral estimation for modelling and processing of phonocardiograms (PCGs). The procedure is based on an autoregressive model driven by a non-Gaussian white noise. The authors develop a third-order recursion which is employed to the modelling of the heart sound signals. The cumulant-based third-order recursion algorithm is derived to show that the parametric method provide bispectral estimation that are far superior to the conventional estimate in term of bispectral fidelity and its resolution. The parametric method is also used to detect the PCG's phase information which is related with the states of the heart. Moreover, it is insensitive to contamination of the heart sound signals by a general class of noise including additive Gaussian noise. Some results are illustrated and compared

Published in:

Engineering in Medicine and Biology Society, 1995 and 14th Conference of the Biomedical Engineering Society of India. An International Meeting, Proceedings of the First Regional Conference., IEEE

Date of Conference:

15-18 Feb 1995