Gaidar V. Physical principles of forecasting and detection of epileptic seizures based on EEG analysis

This work is devoted to the study of the physical characteristics of electroencephalographic signals for the purpose of early detection and prediction of epileptic seizures until their physical manifestation. The aim of this study is to elucidate the physical characteristics of encephalographic signals that can be used to predict and detect epileptic seizures. Also an important stage of the study is the physical justification, which describes the development over time of functional states in epilepsy. The scientific novelty of the obtained results is that a comprehensive study of the physical characteristics of electroencephalographic signals was conducted and an algorithm for isolating the characteristic vector of physical characteristics was constructed in order to detect epileptoform activity in the pre-ictal and ictal periods. The object of research is mathematical models of physical processes of formation of EEG signals and methods of increase of informativeness of diagnostics on these signals. The subject of the research is the model of electroencephalographic signals in epileptic states, physical mechanisms of neuron synchronization in these states, physical characteristics of signals that are informative for detection and prediction of epileptic seizures.