TY - JOUR
T1 - Analysis of spontaneous magnetoencephalography data by similarity measures
AU - Tretyakov, Alex
AU - Chen, Zhihua
AU - Takayasu, Hideki
AU - Nakasato, Nobukazu
PY - 1999/8/15
Y1 - 1999/8/15
N2 - 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.
AB - 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.
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U2 - 10.1016/S0378-4371(99)00173-9
DO - 10.1016/S0378-4371(99)00173-9
M3 - Article
AN - SCOPUS:0033359945
VL - 270
SP - 543
EP - 551
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
SN - 0378-4371
IS - 3
ER -