Automatic EEG interpretation adaptable to individual electroencephalographer using artificial neural network

摘要

In view of the fact that the visual EEG interpretation could be a subjective task and may vary among the electroencephalographers, the main objective of this study was to develop an automatic EEG interpretation system which is adaptable tot each electroencephalographer. The system adapted to each electroencephalo- grapher would bring a close automatic EEG interpretation to that done by the electroencephalographer's visual interpretation. The adaptable automatic EEG interpretation was accomplished by using the construc- tive neural network with forgetting factor.