Gamma burst detection applied to the cleaning of the EEG during meditation
In this work we investigate the impact a breathing control yoga technique named Bhramari Pranayama (BhPr) has on the brain of a practitioner. Electroencephalogram (EEG) recordings from several subjects (with different degrees of expertise) performing BhPr have been analyzed by means of signal processing techniques. In order to clean up the EEG from artifacts a new method based on the detection of gamma bursts has been developed.
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Manuel A. Vázquez obtained a degree and a Ph. D. in computer engineering from the University of A Coruña (Spain) in 2003 and 2008, respectively. Between April 2008 and March 2009 he was a hired researcher at Tampere University of Technology in Finland. From May 2009, he has been a researcher at Carlos III university (Spain). Currently he is enjoying a grant awarded by the government of Spain to research in the field of EEG signals with François Vialatte and Gérard Dreyfus in the SIGMA lab. His main research interests include particle filtering, mimo systems, dynamic programming, positioning and EEG signals processing.