DocumentCode :
1585542
Title :
Analysis for Brain Activities during Operations Using Measured EEG
Author :
Kaji, Yoshio ; Akutagawa, Masatake ; Shichijo, Fumio ; Nagashino, Hirofumi ; Kinouchi, Yohsuke ; Nagahiro, Shinji
Author_Institution :
Fac. of Eng., Tokushima Bunri Univ., Kanagawa
fYear :
2006
Firstpage :
6003
Lastpage :
6006
Abstract :
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
Keywords :
electroencephalography; haemodynamics; learning (artificial intelligence); medical signal processing; moving average processes; neural nets; neurophysiology; patient monitoring; surgery; EEG monitoring; arteries; brain activities; cerebral blood flow; deviation ratio analysis; electroencephalography; integrated EEG analysis software; moving average type neural networks; surgery; Application software; Biology computing; Biomedical engineering; Computer languages; Data handling; Electrodes; Electroencephalography; Pattern analysis; Personal communication networks; Surfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
Type :
conf
DOI :
10.1109/IEMBS.2005.1615859
Filename :
1615859
Link To Document :
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