In the present work, using the method of frequency patterns based on the use of continuous wavelet transform, it was shown that after minor orthodontic interventions, changes in the electrical activity of the brain are observed in patients during the passage of a simple cognitive test. At the same time, in a number of channels of the electroencephalogram, there is a change in the number and average lifetime of frequency patterns, while in other channels these changes are not observed.
In this paper, we demonstrate the use of an approach to quantifying vibrational patterns on electroencephalo- grams (EEG) of healthy adult patients. Our study involved volunteers from among the patients of the University Clinical Hospital named after S.R. Peacemakers (Saratov, Russian Federation) who underwent polysomnographic study. Mathematical processing of EEG data was carried out over the entire recording of nocturnal sleep without dividing into stages. We evaluated two parameters of oscillatory patterns - their duration and number in a sliding time window with a duration of 5 seconds.
In this report we proposed a method for identifying the individual characteristics of motor activity based on the recurrence analysis as applied to the encephalography of the human brain. The analysis was carried out according to the real and imaginary movements of the subjects and compared with each other. This approach makes it possible to identify for each subject connections between channels in which the frequency increases at the moment of motor activity and/or a stable pattern corresponding to this movement is formed. The proposed method has a large number of applications in medicine and neurophysiology.
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