диагностика.

WAVELET ANALYSIS OF SLEEP SPINDLES ON EEG AND DEVELOPMENT OF METHOD FOR THEIR AUTOMATIC DIAGNOSTIC

The detailed wavelet analysis of sleep electric brain activity, obtained from rats with genetic predisposition to absence-epilepsy, has been performed. Characteristic features of time-and-frequency structure of sleep spindles (oscillatory pattern, that serve as electroencephalographic correlate for slow-wave sleep) have been discovered in long-term electroencephalographic data. Operation has been performed using continuous wavelet transform.

METHOD FOR DETECTING OF TWO TYPES OF BRAIN NEURAL ENSEMBLE ACTIVITY DURING SLEEP ACCORDING TO ELECTROENCEPHALOGRAPHIC RECORDS

Method for detecting of two different types of sleep spindles on electroencephalogram was offered. High precision of this method was demonstrated; it can be used in neurophysiological research of regularity of appearing of different patterns on electroencephalogram.