Influence of filters in the detrended fluctuation analysis of digital electroencephalographic data.

Abstract:

:The technique named detrended fluctuation analysis (DFA) has been used to reveal the presence of long-range temporal correlations (LRTC) and scaling behavior (SB) in electroencephalographic (EEG) recordings. The occurrence of these phenomena seems to be a salient characteristic of the healthy human brain and alterations in different pathologies has been described. Here we show how the filtering stages implemented in the systems for digital EEG influence the estimation of the DFA parameters used to characterize the brain signals. In consequence, we conclude that it is important to consider these filtering effects before interpreting the results obtained from digital EEG recordings.

journal_name

J Neurosci Methods

authors

Valencia M,Artieda J,Alegre M,Maza D

doi

10.1016/j.jneumeth.2008.01.010

subject

Has Abstract

pub_date

2008-05-30 00:00:00

pages

310-6

issue

2

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(08)00048-4

journal_volume

170

pub_type

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