A method based on non-stationary state-space modelling is presented for the dynamical evaluation of systematic oscillations occurring in heart rate (HR) signals. The state-space modelling is performed by making use of higher-order cumulants of HR in order to suppress coloured and white Gaussian components, possibly present in the input signal
Estimating the instantaneous frequencies from heart rate tracings: a state space approach based on higher-order statistics
Castiglioni P;
1995-01-01
Abstract
A method based on non-stationary state-space modelling is presented for the dynamical evaluation of systematic oscillations occurring in heart rate (HR) signals. The state-space modelling is performed by making use of higher-order cumulants of HR in order to suppress coloured and white Gaussian components, possibly present in the input signal
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