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

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

191

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575065

Filename

575065