Title :
Cellular neural networks for the anticipation of epileptic seizures
Author :
Tetzlaff, Ronald ; Weiss, Daniel
Author_Institution :
Inst. of Appl. Phys., Frankfurt Univ.
Abstract :
In this paper, a new feature extraction method for the analysis of brain electrical activity in epilepsy is introduced. We propose a new prediction algorithm, which is based on discrete time-delay type Cellular Neural Networks (DTCNN) with nonlinear weight functions. In the results distinct changes of calculated features can be observed some minutes before the onset of an epileptic seizure. A detailed discussion will be given.
Keywords :
cellular neural nets; diseases; electroencephalography; feature extraction; medical signal processing; patient monitoring; brain electrical activity; cellular neural networks; discrete time-delay type cellular neural networks; epilepsy; epileptic seizure anticipation; feature extraction method; nonlinear weight functions; prediction algorithm; Brain; Cellular neural networks; Epilepsy; Feature extraction; Humans; Nonlinear equations; Physics; Polynomials; Prediction algorithms; Surgery;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010418
