DEVELOPMENT OF AN EEG SIGNAL RECORDING AND PROCESSING SYSTEM FOR NEUROBIOMECHANICAL CONTROL SYSTEMS

The article presents a description of the main stages of development of a hardware-software system, designed to record and process electroencephalographic signals for further use in systems based on neurobiocontrol. The basic requirements to this class of biotechnical systems are considered and a variant of implementation of neurobiological feedback technology based on a portable electroencephalograph, hardware of the developed system and structure of the software, including the database of a test person, is offered. The software part of the complex written in Python 3.8 programming language, together with the developed algorithm of signal processing, allow to carry out reception, filtering and estimation of characteristics of electroencephalograms with small delay, that is necessary within the limits of a task of representation to the user of the information on current activity of a brain in systems with neurobiological feedback.

Authors: G. O. Marsal, A. A. Anisimov

Direction: Informatics, Computer Technologies And Control

Keywords: Biofeedback, digital signal processing algorithms, electroencephalogram, fast Fourier transform, spectral analysis, databases, neurobiocontrol

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