S.G. Gurzhin Ph.D. (Eng.), Associate Professor, Department of Information-Measuring and Biomedical Engineering, Ryazan State Radio Engineering University, the Winner of the Lenin Komsomol Prize in Science and Technology (1984), Laureate of the Ryazan Region on Science and Technology and the Silver Medal Academician V. F. Utkin, Honorary Worker of Higher Professional Educatin of the Ressian Federation (2015). E-mail: gurzhin@mail.ru A.A. Dunaev Dr Sc. (Eng.), Professor, Department of Computer Science and Computer Engineering, Ryazan State University named after S. A. Esenin. E-mail: a.dunaev@rsu.edu.ru L.P. Zhalnenkova Teacher of Mathematics and Infomatics, Municipal Budget Educational Institution - Secondary Comprehen-sive School № 7 - (Kasimov). E-mail: e_lubochka@inbox.ru V.E. Simbirtsev Post-graduate Student, Department of Computer Science and Computer Engineering, Ryazan State University named after S. A. Esenin, Teacher of Computer Kasimov Branch RSBEI SVE - Ryazan Medical College-Social?. E-mail: simbir-zev@gmail.com

 One of the promising ways to improve the correlation, spectral and other types of statistical analysis is the development of adaptive techniques suitable for the study of a fairly broad class of Biomedical signals. Modern methods of processing bioelectric signals (BES) are implemented on a computer, or a microprocessor technology, thus their cost and complexity is mainly determined, the structure and the number of operations performed. The best way allows you to quickly solve these problems, ie in real time, it is the correlation - spectral analysis based on the modified method of interval conditioned medium. In this paper, the algorithm of the adaptive correlation analysis method based on interval conditioned medium (MIS). Evaluation of the normalized spectral density (NSP) is performed by a discrete Fourier transform of weighted conditional mean. The developed algorithm modification of the method of interval conditioned medium is adaptive to the mean density of the distribution of the studied process, which significantly (300-500 times) reduce the duration of the analysis of age, the amount of com-putation and simplify program operation.

 

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