Angela Slavova
ABSTRACT
In this paper we study the Cellular Neural Networks (CNN) computing for spatiotemporal analysis of EEG. CNN are programmable processors with spatial structures which have many applications in image processing and pattern recognition. Recently, CNN are used for epileptic seizure prediction. We shall develop an algorithm for testing patients with epilepsy based on CNN. The method for signal prediction is processed by data preprocessing using main component analysis and post-processing. Using an analysis of the signal properties of the error measure the processing will be expanded. Simulations will be presented in order to illustrate the theoretical results.
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Index Terms
- Cellular Neural Networks computing of EEG signals
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