Non-linear and linear forecasting of the EEG time series.

Abstract:

:The method of non-linear forecasting of time series was applied to different simulated signals and EEG in order to check its ability of distinguishing chaotic from noisy time series. The goodness of prediction was estimated, in terms of the correlation coefficient between forecasted and real time series, for non-linear and autoregressive (AR) methods. For the EEG signal both methods gave similar results. It seems that the EEG signal, in spite of its chaotic character, is well described by the AR model.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Blinowska KJ,Malinowski M

doi

10.1007/BF00243291

subject

Has Abstract

pub_date

1991-01-01 00:00:00

pages

159-65

issue

2

eissn

0340-1200

issn

1432-0770

journal_volume

66

pub_type

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