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|Title:||Synchrony analysis of paroxysmal gamma waves in Bhramari Pranayama meditation EEG||Authors:||Guan, Hang||Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2014||Abstract:||Meditation refers to a range of practices that contains techniques used to promote relaxation, generate natural energy or vital force and cultivate compassion. It is an interesting topic which however has received poor attention in the neural signal procession. Electroencephalograms (EEG) is a scientific technique applied to record electrical activity of the brain. Recently, it has been claimed paroxysmal gamma waves (PGWs) have been found in Bhramari Pranayama (BhPr) meditation EEG. In this dissertation, an analysis of the synchrony on PGWs is performed to have a better knowledge of functional connectivity patterns in the brain during BhPr meditation. In order to quantitatively assess the synchrony between pairs of PGW sequences, the method "Stochastic Event Synchrony" (SES) is introduced into the picture. There are seven subjects with three levels of expertise in practicing BhPr provided for the synchrony analysis. Stable connectivity patterns are observed with moderate strength during exhalation periods of BhPr meditation. In addition, the connection strength distribution is most concentrated for the subject with the level of expertise in practicing BhPr meditation.||URI:||http://hdl.handle.net/10356/64986||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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