Simulation of nonstationary EEG.

Abstract:

:In this paper we present a systematic method for generating simulations of nonstationary EEG. Such simulations are needed, for example, in the evaluation of tracking algorithms. First a state evolution process is simulated. The states are initially represented as segments of stationary autoregressive processes which are described with the corresponding predictor coefficients and prediction error variances. These parameters are then concatenated to give a piecewise time-invariant parameter evolution. The evolution is projected onto an appropriately selected set of smoothly time-varying functions. This projection is used to generate the final EEG simulation. As an example we use this method to simulate the EEG of a drowsy rat. This EEG can be described as toggling between two states that differ in the degree of synchronization of the activity-inducing neuron clusters.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Kaipio JP,Karjalainen PA

doi

10.1007/s004220050348

subject

Has Abstract

pub_date

1997-05-01 00:00:00

pages

349-56

issue

5

eissn

0340-1200

issn

1432-0770

journal_volume

76

pub_type

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