Proposes a modern parametric approach to bispectral estimation formodelling and processing of phonocardiograms (PCGs). The procedure isbased on an autoregressive model driven by a non-Gaussian white noise.The authors develop a third-order recursion which is employed to themodelling of the heart sound signals. The cumulant-based third-orderrecursion algorithm is derived to show that the parametric methodprovide bispectral estimation that are far superior to the conventionalestimate in term of bispectral fidelity and its resolution. Theparametric method is also used to detect the PCG's phase informationwhich is related with the states of the heart. Moreover, it isinsensitive to contamination of the heart sound signals by a generalclass of noise including additive Gaussian noise. Some results areillustrated and compared
展开▼
