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

Authors
  • Shin, Hyun-Chool
  • Jia, Xiaofeng
  • Nickl, Robert
  • Geocadin, Romergryko G
  • Thakor Ast, Nitish V
Type
Published Article
Journal
IEEE Transactions on Biomedical Engineering
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
Aug 01, 2008
Volume
55
Issue
8
Pages
1985–1990
Identifiers
DOI: 10.1109/TBME.2008.921093
PMID: 18632361
Source
Medline
License
Unknown

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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