Extracting Robust Biomarkers From Multichannel EEG Time Series Using Nonlinear Dimensionality Reduction Applied to Ordinal Pattern Statistics and Spectral Quantities

Extracting Robust Biomarkers From Multichannel EEG Time Series Using Nonlinear Dimensionality Reduction Applied to Ordinal Pattern Statistics and Spectral Quantities

In this study, ordinal pattern analysis and classical frequency-based EEG analysis methods are used to differentiate between EEGs of different age groups as well as individuals. As characteristic features, functional connectivity as well as single-channel measures in both the time and frequency doma...

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Bibliographic Details
Main Authors: Inga Kottlarz, Sebastian Berg, Diana Toscano-Tejeida, Iris Steinmann, Mathias Bähr, Stefan Luther, Melanie Wilke, Ulrich Parlitz, Alexander Schlemmer
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Physiology
Subjects:
EEG - Electroencephalogram
t-SNE (t-distributed stochastic neighbor embedding)
ordinal pattern statistics
nonlinear dimensionality reduction
biomarkers
functional connectivity
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2020.614565/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2020.614565/full

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