مقاله انگلیسی رایگان در مورد الگوهای سیگنال الکتروانسفالوگرافی در سیستم فعالیت بدنی – IEEE 2018

Electroencephalography is one of the most practical methods of studying brain activity. Based on the registration of currents generated by nerve elements, this method proves to be practically non-inertial, since it reflects the activity of brain formations without the slightest delay. Relative simplicity of the technical implementation of the method, allowed to create one of the types of non-invasive brain-computer interfaces (BCI), demonstrating high performance. In such interfaces, the user controls an external device, for example, the prosthesis, with the help of a mental representation of a particular movement [1-3]. When performing or imagining the movements of various parts of the body, activation of the corresponding motor sites of the cerebral cortex takes place and in the EEG leads located above these areas, desynchronization of ȝ- and ȕ – rhythms is observed. At the same time, at rest, sensorimotor rhythms have a high amplitude (that is, synchronization of rhythms is observed). When recording EEG, the system “10-20%” is usually used the standard system for placing electrodes on the head surface, which is recommended by the International Federation of Electroencephalography and Clinical Neurophysiology. In total, according to this scheme, 21 electrodes are applied to the head surface (Fig. 1). Fig. 1. The layout of the electrodes according to the “10-20%” system However, for the management of the prosthesis, the interpretation of the impulses obtained by these methods is necessary [2-5]. The main difficulties are in the classification of signals and the determination of models of nerve impulses that activate the limbs of the human body. To classify effectively use the methods of artificial neural networks.