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The use of analytical techniques spectra for automation tasks monitor the heart rhythm


V.E. Anciperov – Ph.D. (Phys.-Math.), Senior Research Scientist, Kotel’nikov Institute of Radio Engineering and Electronics of RAS, Associate Professor, Russian New University (Moscow). E–mail:
V.A. Zernov – Dr.Sc. (Eng.), Professor, Rector Russian New University (Moscow). E–mail:
D.V. Rastjagaev – Ph.D. (Physbr.-Math.), Associate Professor, Head of Department of Informatization, Russian New University (Moscow). E–mail:

Presents recent results of the authors in the development of effective algorithms for determination rhythms signals medico-biological origin, in particular, of a heart rhythm. It is shown that in the framework of the methodology Gauss-correlation analysis of natural and technical means of signal processing that contains a repeating event (motives), are analytical spectra, previously introduced by the authors. Discusses high-speed, robust, accuracy characteristics of algorithms for example a particular task monitor the heart rhythm for a long ECG records.

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