Bispectrum Estimation of Electroencephalogram Signals During Meditation

Ateke Goshvarpour; Atefeh Goshvarpour; Saeed Rahati; Vahid Saadatian

IJ Psychiatry and Behavioral Sciences

IJPBS is the Official Journal of Mazandaran University of Medical Sciences

Current Issue All Issues In Press Accepted Manuscripts Search

Journal Information Editors & Boards Indexing and Listing Sources Journal Metrics Open Peer Review (OPR)Publication Ethics and Publication Malpractice Statement Reviewer and AE Registration Form Contact Us Support

APC

Authors Guide Submit Manuscript

Bispectrum Estimation of Electroencephalogram Signals During Meditation

Author(s):

Ateke Goshvarpour¹,

Atefeh Goshvarpour^2,*,

Saeed Rahati³,

Vahid Saadatian⁴

1Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran

2MSc, Department of Biomedical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran

3Department of Electrical Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran

4Department of Psychiatry, Islamic Azad University, Mashhad Branch, Faculty of Medicine, Mashhad, Iran

IJ Psychiatry and Behavioral Sciences:Vol. 6, issue 2; 48-54

Published online:Dec 30, 2012

Article type:Research Article

Received:Nov 19, 2010

Accepted:Jul 02, 2012

How to Cite:Ateke GoshvarpourAtefeh GoshvarpourSaeed RahatiVahid SaadatianBispectrum Estimation of Electroencephalogram Signals During Meditation.Iran J Psychiatry Behav Sci.6(2):48-54.

Abstract

Objective: Electroencephalogram is a reliable reflection of many physiological factors modulating the brain. The Bispectrum is very useful for analyzing non-Gaussian signals such as EEG, and detecting the quadratic phase coupling between distinct frequency components in EEG signals.The main aim of this study was to test the existence of nonlinear phase coupling within the EEG signals in a certain psycho-physiological state; meditation.

Methods: Eleven meditators and four non-meditators were asked to do meditation by listening to the guidance of the master, and 10 subjects were asked to do meditation by themselves. Bispectrum estimation was applied to analyze EEG signals, before and during meditation. EEG signals were recorded using 16-channel PowerLab. ANOVA test was used to establish significant changes in Bispectrum parameters, during two different states (before and during meditation).

Results: Mean Bispectrum magnitude of each channel increased during meditation. These increments of phase coupling are more obvious in occipital region (Pz channel) than frontal and central regions (Fz and Cz channels). Besides that phase coupled harmonics are shifted to the higher frequencies during meditation.

Conclusion:Bispectrum methods can be useful for distinction between two states (before and during meditation).

Declaration of interest: None.

Citation: GoshvarpourA, Goshvarpour A, Rahati S, Saadatian V.Bispectrum estimation of electroencephalogram signals during meditation. Iran J Psychiatry Behav Sci 2012; 6(1): 48-54

Keywords

Bispectrum Estimation

Electroencephalogram

Meditation

Phase Coupling

Fulltext

Full text is available in the PDF.

References

1.
References are available in the PDF.

comments