Title :
Estimating the instantaneous frequencies from heart rate tracings: a state space approach based on higher-order statistics
Author :
Pilgram, B. ; Castiglioni, P. ; Parati, G. ; Rienzo, M. Di
Author_Institution :
LaRC-Centro di Bioingegneria, Politecnico di Milano, Italy
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
Keywords :
Gaussian noise; biocontrol; electrocardiography; higher order statistics; medical signal processing; physiological models; pneumodynamics; singular value decomposition; state-space methods; white noise; cardiovascular system control; coloured components; dynamical evaluation; heart rate tracings; higher-order statistics; instantaneous frequencies; nonstationary state-space modelling; respiratory activity; state space approach; systematic oscillations; white Gaussian components; Colored noise; Fluctuations; Frequency estimation; Gaussian noise; Heart rate; Higher order statistics; Matrix decomposition; Resonance; State estimation; State-space methods;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575065