Estimation of the dynamics of medium rate EEG transitions

Author

Kiltunen, J.K. ; Karjalainen, P.A. ; Kaipio, J.P.

Author_Institution

Dept. of Appl. Phys., Kuopio Univ., Finland

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1220

Abstract

A method for the estimation of medium rate transitions of nonstationary EEG is presented. The method is applicable to such EEG dynamics that are between (a) fast transitions for which segmentation procedures are used and (b) slow transitions for which adaptive filters work properly. The estimation of the transition dynamics is based on a novel time-varying autoregressive model. The performance of the method is evaluated with realistic simulations of known transition dynamics

Keywords

Newton method; autoregressive processes; brain models; delay estimation; electroencephalography; least squares approximations; medical signal processing; neurophysiology; prediction theory; time-varying systems; Gaussian-shaped basis; Jacobian; Levenberg-Marquardt method; adaptive filters; basis constrained least squares; delay estimation; dynamics estimation; event-related desynchronisation; fast transitions; iterative solution; medium rate transitions; nonstationary EEG; prediction coefficients; realistic simulations; segmentation procedures; slow transitions; time-varying autoregressive model; transition dynamics; Brain modeling; Delay; Electroencephalography; Hospitals; Least squares methods; Neurophysiology; Physics; Predictive models; Rhythm; Steady-state;

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.1997.756585

Filename

756585