Wavelet entropy method for EEG analysis: application to global brain injury

Author

Al-Nashash, H.A. ; Paul, J.S. ; Thakor, N.V.

Author_Institution

Sch. of Eng., American Univ. of Sharjah, United Arab Emirates

fYear

2003

fDate

20-22 March 2003

Firstpage

348

Lastpage

351

Abstract

A novel method, "wavelet entropy," is presented for the analysis of EEG signals recorded during injury and recovery following global cerebral ischemia. The EEG is recorded from rodent brains in a controlled experimental brain injury model by hypoxic-ischemic cardiac arrest. Wavelet analysis is used to decompose the EEG into standard clinical subbands. Entropy is then computed using these wavelet coefficients. The wavelet entropy helps segment periods of bursting in EEG signals. The residual entropy of the wavelet coefficients is also computed. It reflects the degree of synchronization of the brain rhythm generators.

Keywords

electroencephalography; entropy; medical signal processing; synchronisation; wavelet transforms; EEG analysis; EEG signal analysis; brain rhythm generators; controlled experimental brain injury model; global brain injury; global cerebral ischemia; hypoxic-ischemic cardiac arrest; residual entropy; rodent brains; standard clinical subbands; wavelet analysis; wavelet coefficients; wavelet entropy method; Brain injuries; Brain modeling; Cardiac arrest; Electroencephalography; Entropy; Ischemic pain; Rodents; Signal analysis; Wavelet analysis; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on

Print_ISBN

0-7803-7579-3

Type

conf

DOI

10.1109/CNE.2003.1196832

Filename

1196832