Monitoring of global cerebral ischemia using wavelet entropy rate of change

H. A. Al-Nashash, N. V. Thakor

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the subband wavelet entropy (SWE) and its time difference are proposed as two quantitative measures for analyzing and segmenting the electroencephalographic (EEG) signals. SWE for EEG subbands, namely Delta, Theta, Alpha, Beta, and Gamma, is calculated and segmented using wavelet analysis. In addition, a time difference entropy measure was calculated because it does not require a baseline and equals to zero in all clinical bands as the initial condition. Visual and quantitative results were obtained from 11 rodents that were subjected to 3,5, and 7 min of global ischemic brain injury by asphyxic cardiac arrest. We found that the time difference of SWE is capable of amplifying the variations between clinical bands during the various stages of the recovery process and may serve as a novel analytical approach to grade and classify brain rhythms during global ischemic brain injury and recovery.

Original languageEnglish (US)
Pages (from-to)2119-2122
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume52
Issue number12
DOIs
StatePublished - Dec 2005

ASJC Scopus subject areas

  • Biomedical Engineering

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