EEG burst detection: Performance evaluation

M. Atit, J. Hagan, S. Bansal, R. Ichord, R. Geocadin, C. Hansen, D. Sherman, N. Thakor

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

8 Scopus citations

Abstract

Prior research has shown that bursting in early recovery, is an indicator of neurological outcome following a hypoxic-ischemic injury. This paper compares three burst-counting procedures, the `gold standard' clinician, the Teager Energy Operator (TEO) and the Square Law Detector (SLD). Analysis of detection performance showed that the TEO easily detects more accurate bursts than the traditional SLD. During periods of high EEG background activity, the TEO maintains a high burst detection rate coupled with a low false alarm rate.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages441
Number of pages1
ISBN (Print)0780356756
StatePublished - 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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