Event Related Potentials Extraction from EEG Using Artificial Neural Network

摘要

The Event Related Potentials (ERPs) is an electrical change recorded from the brain in relation to an event that occurs either in the external world or within the brain itself. Here we are to design a system capable of learning a particular mapping between ERPs and different mental tasks is of great significance. ERPs is traditionally extracted by averaging. The paper proposed a new ERP extraction algorithm using artificial neural network. It discussed the configuration, learning and running of the designed network. The partial least square regression was introduced to train the neural network. Series experiments showed that the method is effective and is suitable for single-trail ERP estimation.