Methods of dynamic spectral analysis by self-exciting autoregressive moving average models and their application to analysing biosignals.

Abstract:

:Dynamic methods in the spectral domain are necessary to analyse biological signals because of the frequently nonstationary character of the signals. The paper presents an adaptive procedure of fitting time-dependent ARMA models to nonstationary signals, which is suitable for on-line calculations. The properties of the model parameter estimations are examined, and in the stationary case are compared with the results of convergent estimation methods. On this basis time-varying spectral parameters with high temporal and spectral resolution are calculated, and the possibility of their application is shown in EEG analysis and laser-Doppler-flowmetry.

journal_name

Med Biol Eng Comput

authors

Schack B,Bareshova E,Grieszbach G,Witte H

doi

10.1007/BF02510536

subject

Has Abstract

pub_date

1995-05-01 00:00:00

pages

492-8

issue

3 Spec No

eissn

0140-0118

issn

1741-0444

journal_volume

33

pub_type

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