A distinguishing method of epileptic EEG and deglutition EEG based on chaotic noise-reduction

A new method for recovering epileptic EEG and deglutition EEG´s nonnoise trajectory and distinguishing these two waveforms is presented. The main aim of this paper is to introduce the theory and establish a mathematical model of the simple recovery of the EEG´s nonnoise trajectory. This method is finally used in experiments. Our results prove that chaotic dynamics do exist in EEG and that the signal-noise of EEG markedly improves. Furthermore, it is also successful in recovering the structural characteristics of a strange attractor destroyed by noise. The paper obtains the real chaotic trajectory of EEG with which it can calculate the dipole of EEG. According to the different parameters of the dipole, a method of distinguishing epileptic EEG and deglutition EEG using the measurement of nonlinear dynamics is obtained.