Recent Results on the Prediction of EEG Signals in Epilepsy by Discrete-Time Cellular Neural Networks (DTCNN)

Automated detection of a preseizure state: non‐linear EEG analysis in epilepsy by Cellular Nonlinear Networks and Volterra systems

“…According to previous studies [38,39] it follows that for the considered cases the small coupling weights of polynomial order 2 can be neglected, leading to the results for the electrode conÿguration TLL (Layer 1) and TL (Layer 2) given in Figure 15. Therein DTCNN (m; 1; 1) and DTCNN (m; 2; 2) are shown versus segment number m. These results indicate that a topology only regarding the odd orders-in this case the 1st-and 3rd-order-of the polynomial coe cients seems to be su cient for predicting EEG-data.…”

New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks

“…The Polynomial CNN was first introduced in [12], and the conditions for the stability of the network are analyzed in [13]; it has found application in a number of fields, like the epilepsy seizures prediction [14]. Here, we define a general form for PCNNs, whose continuous-time state equation is…”

Toward an autonomous platform for spatio‐temporal EEG‐signal analysis based on cellular nonlinear networks

“…A seizure precursor may be detected by changes of the so-called signal features derived from EEG signals. Many publications [3][4][5][6][7][8][9][10] have been addressed to this field of research, but the problem remains unsolved. It has been shown that algorithms based on CNN [11][12][13] provided new results in the field of EEG-signal analysis.…”

“…[22][23][24][25][26][27]) aim at a better understanding of neural dynamics related to epileptic seizure generation; many of them using methods from signal processing, complex systems theory and system biology. Several publications indicate that a possible transition from interictal to ictal states might be detected 625 by a higher-dimensional analysis of brain electrical activity [28][29][30][31][32] but still seizures cannot be anticipated with necessary sensitivity and specificity.…”