FIELD: medicine.
SUBSTANCE: real-time and time-delay EEGs are recorded and processed by continuous wavelet decomposition. Scalograms of a wavelet coefficient matrix are drawn. That is followed by the further analysis of chains of local minimums and maximums on the successively drawn scalograms. The chains of the local minimums and maximums are formed. Basic chain parameters required for the further analysis are determined. The chains are typed according both to frequency and energy parameters. The averaged chains of the local minimums and maximums are derived. The number of chains is used to construct frequency- and energy-based incidence cross tables to be statistically processed; the incidence can fall within the range of an absolute value, and be rated by the common number of chains in the tables, the common number in the respective line, and the common number in the respective column.
EFFECT: invention enables providing the higher accuracy and information value of the EEG analysis in various functional conditions by detecting the fine structure of the local minimums and maximums carrying the information of respective brain centres activity.
15 dwg, 2 ex
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Authors
Dates
2015-02-27—Published
2012-12-14—Filed