Abstract
The study of the wavelet characteristics of the signal helps to identify characteristic patterns in the patterns of physiological rhythms of a healthy person and to determine changes in the dynamic complexity of the patterns in the event of various pathological conditions. The paper shows the possibility of using the wavelet characteristics of EEG (electroencephalogram) patterns for automatic detection of epileptiform discharges. An algorithm for compressing MRI medical images associated with brain pathologies based on the use of Haar wavelets is proposed.
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