• DocumentCode
    386286
  • Title

    MEG signals spatial power distribution and gamma band activity in yoga breathing exercises

  • Author

    Baglio, S. ; Bucolo, M. ; Fortuna, L. ; Frasca, M. ; Rosa, M. La ; Shannahoff-Khalsa, D.

  • Author_Institution
    Dipt. Elettrico Elettronico a Sistemistico, Universita degli Studi di Catania, Italy
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    175
  • Abstract
    The spatial power distribution has been studied in magnetoencephalography (MEG) data collected in a subject performing two different yoga breathing exercises specific for the treatment of obsessive compulsive disorder. First of all, in relation with all the frequency components, a characteristic spatial structure of power distribution has been reconstructed using the correlation function for both the recordings. Moreover through the power spectral analysis characterization of the gamma-band activity has been carried on allowing one to underline the differences due to the activities of different phases of the same protocol and the effects of performing different breathing exercises.
  • Keywords
    correlation methods; magnetoencephalography; medical signal processing; pneumodynamics; signal reconstruction; spectral analysis; MEG signals spatial power distribution; correlation function; frequency components; gamma band activity; magnetoencephalography data; obsessive compulsive disorder; power distribution reconstruction; power spectral analysis; spatial structure; yoga breathing exercises; Autocorrelation; Electric variables measurement; Electroencephalography; Frequency; Medical treatment; Neuroimaging; Power distribution; Protocols; Scalp; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1134443
  • Filename
    1134443