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A subband-based information measure of EEG during brain injury and recovery after cardiac arrest

Authors
Shin, Hyun-ChoolJia, XiaofengNickl, RobertGeocadin, Romergryko G.Thakor, Nitish V.
Issue Date
Aug-2008
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
brain injury; cardiac arrest; EEG; entropy; hypothermia; subband; wavelet
Citation
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.55, no.8, pp.1985 - 1990
Journal Title
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume
55
Number
8
Start Page
1985
End Page
1990
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/16836
DOI
10.1109/TBME.2008.921093
ISSN
0018-9294
Abstract
We propose an improved quantitative measure of EEG during brain injury and recovery after cardiac arrest. In our previous studies, we proposed a measure, information quantity (IQ), to detect the early effects of temperature manipulation on the EEG signals recorded from the scalp. IQ incorporates the wavelet transform and the Shannon entropy in full bands from delta to gamma. Unlike IQ, here we separately calculate IQ in each subband, i.e., the new measure is IQ in each subband. We will call it subband IQ (SIQ). We demonstrate the performance of the proposed method by comparing SIQ with IQ in terms of how well the meausres predict actual neurological outcomes. Thirteen rats, based on 7-min cardiac arrest were used. The experimental results show that the proposed measure, was more highly correlated to neurological outcome than IQ.
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