Adaptive predictive modelling for the analysis of the epileptic EEG

Author

Mylonas, S.A. ; Comley, R.A.

Author_Institution

Centre for Inf. Eng., City Univ., London, UK

fYear

1992

fDate

16-20 Nov 1992

Firstpage

1214

Abstract

A signal processing model for the epileptic EEG is used to formulate an analysis model, based on linear prediction. This formulation is implemented as a number of adaptive filters and applied for the detection of epileptic spikes. The theory behind the method is explained and the implementation described. Results are presented and compared for two adaptive filter realizations. The computationally efficient algorithm can be implemented in real-time on a small microcomputer system for on-line analysis. Intermediate results produced by this method may be used for further analysis. Generalization for the detection of other EEG transients and the removal of artifacts can be achieved easily

Keywords

adaptive filters; electroencephalography; filtering and prediction theory; medical diagnostic computing; medical signal processing; microcomputer applications; real-time systems; transients; adaptive filters; detection of epileptic spikes; epileptic EEG; linear prediction; microcomputer system; removal of artifacts; signal processing model; Adaptive filters; Adaptive signal processing; Brain modeling; Electroencephalography; Epilepsy; Microcomputers; Predictive models; Real time systems; Signal analysis; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Singapore ICCS/ISITA '92. 'Communications on the Move'

Print_ISBN

0-7803-0803-4

Type

conf

DOI

10.1109/ICCS.1992.255068

Filename

255068