Development of a method for coupling detection based on the phase dynamics modeling for analyzing EEG rhythms during an epileptic seizure in patients with a reduced level of consciousness

In this paper, we investigate the effectiveness of the method of coupling detection based on phase dynamics modeling in the analysis of the etalon systems whose phase dynamics properties are similar to the properties of the EEG signals from epilepsy patients who are in a coma state. On the example of the etalon model, a method of pre-filtering of signals is proposed, it provides a low level of errors while maintaining high sensitivity of the method. For the test systems, the optimal value of the method parameter and the length of the series are found.