N.N. Lebedeva – Dr. Sc. (Biol.), Professor, Academician of the Russian Academy of Natural Sciences, 

Head of Laboratory of Applied Physiology of Higher Nervous Activity of the Person,  Institute of Higher Nervous Activity and Neurophysiology RAS (Moscow) E-mail: lebedeva@ihna.ru

E.J. Karimova – Ph.D. (Biol.), Research Scientist, Laboratory of Applied Physiology 

of Higher Nervous Activity of the Person, Institute of Higher Nervous Activity and Neurophysiology RAS (Moscow)

S.A. Varlamov – Post-graduate Student, Institute of Higher Nervous Activity and Neurophysiology RAS (Moscow)

The methodological comparison of the three spectral EEG powers are presented in the paper. The main question is the greater resistance to random fluctuations of the EEG signal over the registration time. The study involved 5 volunteers, each with 5 EEG records for 3 months. The registration took place at rest and while performing three motor tasks in different contexts. It is shown that the relative power has the greatest stability. If we also take into account the sensitivity to bioelectric activity changes in different tasks, then the absolute power index P µV2 is the most optimal. To obtain the most stable spectral estimates needed in the analysis of the interval length of at least 15 s. Frequency bands with greater resistance power factors – are the alpha and theta rhythms. Eyes closed condition has the least scatter of the spectral indices.

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