Analysis for brain activities during operations using measured EEG

EEG (electroencephalogram) analysis is one of the most familiar methods. The goal of this study is to develop the integrated EEG analysis software. In some cases, temporary or permanent occlusion of the arteries, which participates the cerebral blood flow, is needed during surgery. It is important to monitor the brain condition to prevent from a sequel. In this study, we propose moving average type neural networks (MANN) are applied to analyze the EEG, too. In this method, measured EEG is divided into overlapped period of 30 seconds. A MANN is trained to predict EEG by using of previous 5 samples in each period. After the training, connection weights of each MANN are compared by inner product to evaluate changes of brain condition. According to the result of analysis of a clinical data, the usefulness of the MANN analysis and DR(deviation ratio) analysis was confirmed.