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Journal Biomedical Radioelectronics №4 for 2015 г.
Article in number:
Pulse-phase analysis of pulse wave and biological potentials of a human brain
Authors:
I.V. Stepanian - Dr.Sc. (Biol.), Ph.D. (Eng.), Leading Research Scientist, Laboratory of Biodynamics, Institute for Machine Science named by A.A. Blagonravov of the RAS; Leading Research Scientist, Moscow State Сonservatory named by P.I. Chaikovsky (Moscow). E-mail: neurocomp.pro@gmail.com I.S. Javelov - Ph. D. (Eng.), Leading Research Scientist, Laboratory of Biodynamics, Institute for Machine Science named by A.A. Blagonravov of the RAS (Moscow). E-mail: yishome@mail.ru A.V. Savelyev - Senior Research Scientist; Director of the Patent Agency «©Uniquely Honest Patenting» (Moscow). E-mail: gmkristo@rambler.ru O Han Do - Ph. D. (Med.), Chief of Holding «in2sm.com» (Seoul, Republic of Korea). E-mail: ohd@wtf.org V.I. Svirin - Junior Research Scientist, Institute for Machine Science named by A.A. Blagonravov of the RAS (Moscow). E-mail: vitaly.i.svirin@gmail.com K.V. Pleshakov - Post-graduate Student, Institute for Machine Science named by A.A. Blagonravov of the RAS (Moscow). E-mail: kpleshakov@gmail.com
Abstract:
We made testing and comparative analysis of methods for constructing semantic graph maps of biological information for the visualization of structural-frequency representation of biorhythms and biopotential man with advanced technology and with vectors of logical connections and with methods neurosemantics using. The algorithm of information processing involves assessment phase-temporal characteristics of received cardio-signal as noise signal. This is done with the definition of narrow-filtration dynamics of the phase shift of the selected harmonic component signal relative to the reference phase signal with further construction on the basis of the phase-time characteristics. Useful information is extracted from the nature of the phase shift change was determined such a in time. Cardiological-heart rate monitor \"Pulse-M\" is the product of high technology in the field of sensor technology and information transfer. It combines the ability to quickly and qualitative to examine of patients, to keep of signal data in memory, and also allows to contact with the counseling centers for a consultation (collective decision-making in real time). This work was financially supported partially by RHSF in grant № 15-03-00519а «Post-non-classic paradigm of artificial intellect».
Pages: 81-83
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