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2019 | OriginalPaper | Chapter

The Detrended Fluctuation Analysis of EEG Signals: A Meditation-Based Study

Authors : Sunil R. Hirekhan, Ramchandra Manthalkar, Shruti Phutke

Published in: Computing, Communication and Signal Processing

Publisher: Springer Singapore

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Abstract

The Detrended Fluctuation Analysis is a widely used method for analysis of non-stationary time series which has been applied to EEG signals. The Detrended Fluctuation Analysis (DFA) of the EEG signals in pre- and post-meditation (mindfulness) intervention are compared. It is observed that the EEG data obtained from 8 subjects out of total 11 subjects shows reduction in the DFA values. The reduction in DFA values represents the lower intrinsic fluctuations in the EEG time series, which is a measure of better (higher) complexity of these vital rhythms. The reduced DFA values after 8 weeks of Focused Attention (mindfulness) meditation practice in more number of subjects, indicates that the meditation practice enhances the ability to handle complexity. The reduced DFA values indicate improved neuronal functioning of these subjects.

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previous chapter Analyzing Effect of Meditation Using Higher Order Crossings and Functional Connectivity
next chapter Convex Optimization-Based Filter Bank Design for Contact Lens Detection
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Metadata
Title
The Detrended Fluctuation Analysis of EEG Signals: A Meditation-Based Study
Authors
Sunil R. Hirekhan
Ramchandra Manthalkar
Shruti Phutke
Copyright Year
2019
Publisher
Springer Singapore
Book
Computing, Communication and Signal Processing

Print ISBN: 978-981-13-1512-1

Electronic ISBN: 978-981-13-1513-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-1513-8_78