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.
|Number of pages||9|
|Journal||Physica A: Statistical Mechanics and its Applications|
|Publication status||Published - 1999 Aug 15|
ASJC Scopus subject areas
- Statistics and Probability
- Condensed Matter Physics