Title :
Spatio-temporal distribution of brain electrical activity patterns in epilepsy: inputs for cellular neural networks
Author :
Tetzlaff, Ronald ; Kunz, R.
Author_Institution :
Inst. fur Angewandte Phys., Frankfurt Univ.
Abstract :
A new approach to the analysis of brain electrical activity in epilepsy is introduced. It is based on Cellular Neural Networks (CNN) with linear weight functions and nonpropagating templates. For a CNN with binary steady state outputs and binary inputs (Boolean CNN) the measured relative frequency of different CNN input patterns of brain electrical activity is discussed applying focal and non-focal electrodes
Keywords :
cellular neural nets; diseases; electroencephalography; medical signal processing; pattern recognition; Boolean CNN; CNN inputs; binary inputs; binary steady state outputs; brain electrical activity patterns; cellular neural networks; epilepsy; focal electrodes; linear weight functions; nonfocal electrodes; nonpropagating templates; spatio-temporal distribution; Artificial intelligence; Brain; Cellular neural networks; Decoding; Electric variables measurement; Electrodes; Epilepsy; Frequency measurement; Intelligent networks; Steady-state;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.921314
