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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Pubblicato in:Front Physiol
Autori principali: Päeske, Laura, Bachmann, Maie, Põld, Toomas, de Oliveira, Sara Pereira Mendes, Lass, Jaanus, Raik, Jaan, Hinrikus, Hiie
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2018
Soggetti:
Physiology
Accesso online: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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