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Published in:
Modular Lipschitzian and Contractive Maps Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Stable EEG Features

Authors : V. Stefanidis, G. Anogiannakis, A. Evangelou, M. Poulos

Published in: Optimization, Control, and Applications in the Information Age

Publisher: Springer International Publishing

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Abstract

The aim of this chapter is to identify stable points and stationary wavelets in EEG signals. Generally an EEG signal is a very complex nonstationary signal. It is very difficult to recognize specific EEG features such as Biometric patterns and Pathological changes. Using a repeated autocorrelation procedure and symmetry features of EEG time series on real EEG Time Series Data, we experimentally investigate stable points in EEG signals. Also we investigate standing waves shafts around these stable points, which reveals the existence of stationary wavelets in EEG signals.

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Metadata
Title
Stable EEG Features
Authors
V. Stefanidis
G. Anogiannakis
A. Evangelou
M. Poulos
Copyright Year
2015
Book
Optimization, Control, and Applications in the Information Age

Print ISBN: 978-3-319-18566-8

Electronic ISBN: 978-3-319-18567-5

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-18567-5_18

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