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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Publicat a:Front Physiol
Autors principals: Päeske, Laura, Bachmann, Maie, Põld, Toomas, de Oliveira, Sara Pereira Mendes, Lass, Jaanus, Raik, Jaan, Hinrikus, Hiie
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2018
Matèries:
Physiology
Accés en línia: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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