PROSPECTS FOR THE APPLICATION OF MULTIPARAMETRIC BIOLOGICAL FEEDBACK

This article reflects the promising directions of various fields, based on the conceptual foundations of the biological feedback (BFB) methodology. Considering the results of the practice of using BFB methodology as a clinical study to optimize the psychophysiological state of humans, as well as the results of controlled experiments on animals, a complex of modern intelligent technologies is presented. Optimization of biotechnical systems, providing for the implementation of multiparametric BFB, is proposed by a synergistic approach that maximally utilizes the functional resource of humans. The intellectualization of self-organization of biotechnical systems is one of the approaches to improving adaptive control, taking into account the functional resources of humans. The feasibility of including decision-making procedures in conditions of uncertainty in the software that implements multiparametric BFB is justified. The target task of the biotechnical system is formed as a multi-criteria problem. In this case, each criterion is defined as a “desired state” corresponding to individual controlled parameters. With this approach, the global tasks of the biotechnical system will be represented as multi-criteria problems in a multidimensional space. From a functional point of view, the hierarchical biotechnical system requires the decentralization of the system’s overall intelligence. In the specific application of multiparametric BFB, the distribution of intelligence between sensors and interfaces is resolved in a particular situation.