Ya. А. Turovky - Ph.D. (Med.), Associate Professor, Head of the Digital Medical Technologies Laboratory, Computer Science Faculty, Voronezh State University. E-mail: yaroslav_turovsk@mail.ru
S. D. Kurgalin - Dr.Sc. (Phys.-Math.), Head of the Digital Technologies Department, Computer Science Faculty, Voronezh State University. E-mail: kurgalin@bk.ru

For acceleration of the brain-computer interfaces (BCI) working the only common control strategy for users choice was suggested. At that time the programs and device components of the BCI had to realized such local control strategy which will be most effective, optimal and (especially important) demonstrate pattern inherent for concrete person. The purpose of this investigation was a BCI acceleration design on symbol prognosis, which form control command. The method for acceleration of the brain-computer interfaces, which based on prediction of the symbols series for chain commands forming was demonstrated. For control commands for manipulator, cursor, self-propelled chassis and so on the standard letters alphabet and artificially generated alphabet was used. The using method advantage is individual adaptive BCI for concrete users and high potential for acceleration of the brain-computer interfaces. The maximum effects of this optimization was typical for 3-4 symbols in interface commands. The possibility for controlling devices which use quantitative variable such as 2D or 3D coordinates was demonstrated. The using of result, which was demonstrated in this article help to acceleration of the brain-computer interfaces without new physiological phenomenon seeking.