Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity-Reference-Cited by-同舟云学术

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Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

Published:2018-09-27 Issue: Volume:9 Page:
ISSN:1664-042X
Container-title:Frontiers in Physiology
language:
Short-container-title:Front. Physiol.

Author:

Päeske Laura,Bachmann Maie,Põld Toomas,de Oliveira Sara Pereira Mendes,Lass Jaanus,Raik Jaan,Hinrikus Hiie

Funder

European Regional Development Fund

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

Reference30 articles.

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2. Detection and description of non-linear interdependence in normal multichannel human EEG data.;Breakspear;Clin. Neurophysiol.,2002

3. Topological filtering of dynamic functional brain networks unfolds informative chronnectomics: a novel data-driven thresholding scheme based on orthogonal minimal spanning trees (OMSTs).;Dimitriadis;Front. Neuroinform.,2017

4. Functional connectivity changes detected with magnetoencephalography after mild traumatic brain injury.;Dimitriadis;NeuroImage Clin.,2015

5. Comparison of waveform fractal dimension algorithms.;Esteller;IEEE Trans. Circuits Syst. Fund. Theory Appl.,2001

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