Analysis of spontaneous magnetoencephalography data by similarity measures

Alex Tretyakov, Zhihua Chen, Hideki Takayasu and Nobukazu Nakasato

Physica A: Statistical Mechanics and its Applications, 1999, vol. 270, issue 3, 543-551

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.

Keywords: Time series; Dissimilarity; Simulated annealing; Magnetoencephalography; Brain wave (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:270:y:1999:i:3:p:543-551

DOI: 10.1016/S0378-4371(99)00173-9

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