Time-varying analysis for the estimation of spectral parameters in cardiovascular variability signals

Author

Cerutti, Sergio ; Bianchi, Anna M. ; Mainardi, Luca T.

Author_Institution

Dept. of Biomed. Eng., Polytech. Univ., Milano, Italy

Volume

6

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

2698

Abstract

The frequency domain analysis of the heart rate variability (HRV) signal is actually extended to nonstationary situations in order to quantify the autonomic control during physiological or pathological dynamical phenomena. Different methods of time-frequency representation of a signal have been proposed in literature. In the present paper a recursive implementation of the autoregressive spectral identification is described together with application in clinical protocols dealing with myocardial ischemia, both spontaneous or induced by dipyridamol infusion and with episodes of vaso-vagal syncope

Keywords

autoregressive processes; cardiovascular system; electrocardiography; medical signal processing; recursive estimation; signal representation; spectral analysis; time-frequency analysis; autonomic control; autoregressive spectral identification; cardiovascular variability signals; dipyridamol infusion; heart rate variability; myocardial ischemia; pathological dynamical phenomena; physiological dynamical phenomena; power spectral analysis; recursive implementation; signal representation; spectral parameters estimation; time-frequency representation; time-varying analysis; vaso-vagal syncope; Autonomic nervous system; Biomedical engineering; Frequency domain analysis; Hafnium; Heart rate variability; Parameter estimation; Pathology; Signal analysis; Signal resolution; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756891

Filename

756891