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  • Multidiagnostics system for patients with postural deficits and algorithm for recognizing stabilographic signals

      Work is connected with the synthesis of information behavior of groups of autonomous intelligent agents of biomedical research, and machine learning methods to ensure the reliability of the forecast increase in their behavior using multi-agent systems based on the use of bionic principles, methods and models of swarm intelligence. Developed multi-agent system simulates the behavior of groups of autonomous intelligent agents developed methods to meet the proposed criteria of reliability, differing form the structure of the system and developed a set of specialized agents that provides the capability to model a group of biomedical robotics using autonomous intelligent agents. Classifier of stabilographic signals on the basis of Parzen method was developed. These data indicate that the auxiliary symptoms resulting from multidimensional scaling much more informative initial attributes.

    Keywords: Intelligent agent, multidiagnostics, Parzen classifier

  • Principles for the development of biopotential amplifiers and method of processing data on reactions

      The requirements to be met by a data acquisition system in terms of each of the problems to be solved. Presented electric concept developed biopotential amplifier with a total gain of 2000. The theoretical model of the spectrum of RR intervals and changes depending on the running processes. The analysis revealed that the resulting spectrum satisfies the conditions considered in the theoretical model, and can be further analyzed with fractal characteristics.

    Keywords: Instrumental amplifier, biopotential, fractal index