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

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

doi:10.1109/CNE.2003.1196832

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

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

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering
Editors	Laura J. Wolf, Jodi L. Strock
Publisher	IEEE Computer Society
Pages	348-351
Number of pages	4
ISBN (Electronic)	0780375793
DOIs	https://doi.org/10.1109/CNE.2003.1196832
State	Published - Jan 1 2003
Event	1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy Duration: Mar 20 2003 → Mar 22 2003

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2003-January
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Other

Other	1st International IEEE EMBS Conference on Neural Engineering
Country	Italy
City	Capri Island
Period	3/20/03 → 3/22/03

Fingerprint

Keywords

Brain injuries
Brain modeling
Cardiac arrest
Electroencephalography
Entropy
Ischemic pain
Rodents
Signal analysis
Wavelet analysis
Wavelet coefficients

ASJC Scopus subject areas

Artificial Intelligence
Mechanical Engineering

Cite this

Al-Nashash, H. A., Paul, J. S., & Thakor, N. V. (2003). Wavelet entropy method for EEG analysis: application to global brain injury. In L. J. Wolf, & J. L. Strock (Eds.), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering (pp. 348-351). [1196832] (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196832

Wavelet entropy method for EEG analysis : application to global brain injury. / Al-Nashash, H. A.; Paul, J. S.; Thakor, N. V.

Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. ed. / Laura J. Wolf; Jodi L. Strock. IEEE Computer Society, 2003. p. 348-351 1196832 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Nashash, HA, Paul, JS & Thakor, NV 2003, Wavelet entropy method for EEG analysis: application to global brain injury. in LJ Wolf & JL Strock (eds), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering., 1196832, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2003-January, IEEE Computer Society, pp. 348-351, 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, 3/20/03. https://doi.org/10.1109/CNE.2003.1196832

Al-Nashash HA, Paul JS, Thakor NV. Wavelet entropy method for EEG analysis: application to global brain injury. In Wolf LJ, Strock JL, editors, Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. IEEE Computer Society. 2003. p. 348-351. 1196832. (International IEEE/EMBS Conference on Neural Engineering, NER). https://doi.org/10.1109/CNE.2003.1196832

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Access to Document

10.1109/CNE.2003.1196832