Analysis of spontaneous magnetoencephalography data by similarity measures

Alex Tretyakov, Zhihua Chen, Hideki Takayasu, Nobukazu Nakasato

Research output: Contribution to journalArticlepeer-review

Abstract

We discuss application of dissimilarity measures technique to the classification of time series obtained in experimental measurements, and use it to analyze multi-channel magnetoencephalography data (MEG). Dissimilarity measures for the 1/f component of MEG data allow to distinguish signals coming from left and right hemispheres. The α-wave component does not allow this distinction, supporting the earlier research, indicating that α-wave sources travel along the whole of the posterior region of the brain.

Original languageEnglish
Pages (from-to)543-551
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Volume270
Issue number3
DOIs
Publication statusPublished - 1999 Aug 15

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics

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