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

The aim of the study is to clarify the impact of the strong cyclic signal component on the results of surrogate data method in the case of resting electroencephalographic (EEG) signals. In addition, the impact of segment length is analyzed. Different non-linear measures (fractality, complexity, etc....

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Detalhes bibliográficos
Publicado no:Front Physiol
Main Authors: Päeske, Laura, Bachmann, Maie, Põld, Toomas, de Oliveira, Sara Pereira Mendes, Lass, Jaanus, Raik, Jaan, Hinrikus, Hiie
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Physiology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6170787/
https://ncbi.nlm.nih.gov/pubmed/30319451
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphys.2018.01350
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