TY - JOUR
T1 - Monitoring of global cerebral ischemia using wavelet entropy rate of change
AU - Al-Nashash, H. A.
AU - Thakor, N. V.
N1 - Funding Information:
Manuscript received May 10, 2004; revised April 24, 2005. This work was supported by the National Institutes of Health (NIH) under Grant R21NS42690 and Grant RO1 HL 071568 and in part by the AUS under Grant 1/2001. Asterisk indicates corresponding author.
PY - 2005/12
Y1 - 2005/12
N2 - 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.
AB - 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.
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U2 - 10.1109/TBME.2005.857634
DO - 10.1109/TBME.2005.857634
M3 - Article
C2 - 16370057
AN - SCOPUS:28844471331
SN - 0018-9294
VL - 52
SP - 2119
EP - 2122
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 12
ER -