Auto-regressive analysis of EEG reveals brain's response to injury

Vaibhava Goel, Ansgar Brambrink, Ahmet Baykal, Nitish V. Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We hypothesize that an insight into brain injury during hypoxia-asphyxia and recovery can be gained by quantifying the changes in frequency characteristics of EEG. Neonatal piglets (1-2 weeks old) are hypoxiated and asphyxiated to simulate severe birth related insult. Continuous Auto-Regressive(AR) analysis of EEG records is done to obtain three dominant frequencies corresponding to three poles in the spectrum. The results show an increase in power in all three frequency components (up to 200% of baseline) during hypoxia, the rate of increase being maximum for the highest frequency component. The power goes down to approximately zero within 40-60 secs. of asphyxia. Recovery in power occurs in a bursting fashion, most clearly elicited in the lowest frequency. This result is consistent with burst-suppression during recovery reported in the literature.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages219-220
Number of pages2
Volume16
Editionpt 1
StatePublished - 1994
Externally publishedYes
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: Nov 3 1994Nov 6 1994

Other

OtherProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2)
CityBaltimore, MD, USA
Period11/3/9411/6/94

Fingerprint

Electroencephalography
Brain
Recovery
Poles

ASJC Scopus subject areas

  • Bioengineering

Cite this

Goel, V., Brambrink, A., Baykal, A., & Thakor, N. V. (1994). Auto-regressive analysis of EEG reveals brain's response to injury. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pt 1 ed., Vol. 16, pp. 219-220). IEEE.

Auto-regressive analysis of EEG reveals brain's response to injury. / Goel, Vaibhava; Brambrink, Ansgar; Baykal, Ahmet; Thakor, Nitish V.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 16 pt 1. ed. IEEE, 1994. p. 219-220.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Goel, V, Brambrink, A, Baykal, A & Thakor, NV 1994, Auto-regressive analysis of EEG reveals brain's response to injury. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. pt 1 edn, vol. 16, IEEE, pp. 219-220, Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2), Baltimore, MD, USA, 11/3/94.
Goel V, Brambrink A, Baykal A, Thakor NV. Auto-regressive analysis of EEG reveals brain's response to injury. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. pt 1 ed. Vol. 16. IEEE. 1994. p. 219-220
Goel, Vaibhava ; Brambrink, Ansgar ; Baykal, Ahmet ; Thakor, Nitish V. / Auto-regressive analysis of EEG reveals brain's response to injury. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 16 pt 1. ed. IEEE, 1994. pp. 219-220
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