Automatic detector of High Frequency Oscillations for human recordings with macroelectrodes

R. Zelmann*, F. Mari, J. Jacobs, M. Zijlmans, R. Chander, J. Gotman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

34 Citations (Scopus)

Abstract

High Frequency Oscillations (HFOs) in the EEG are a promising biomarker of epileptogenic tissue. Given that the visual marking of HFOs is highly time-consuming and subjective, automatic detectors are necessary. In this study, we present a novel automatic detector that detects HFOs by incorporating information of previously detected baselines. The detector was trained on 72 channels and tested on 278, achieving a mean sensitivity of 96.8% with a mean false positive rate of 4.86%. This low rate is reasonable since only visually marked baseline segments were considered as the true negatives. This detector could be useful for the systematic study of HFOs and for their eventual clinical application.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Place of PublicationNEW YORK
PublisherIEEE
Pages2329-2333
Number of pages5
ISBN (Print)9781424441235
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10) - Buenos Aires, Argentina
Duration: 30 Aug 20104 Sept 2010

Publication series

NameIEEE Engineering in Medicine and Biology Society Conference Proceedings
PublisherIEEE
ISSN (Print)1557-170X

Conference

Conference32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)
Country/TerritoryArgentina
Period30/08/104/09/10

Keywords

  • HUMAN EPILEPTIC BRAIN
  • ENTORHINAL CORTEX
  • 100-500 HZ
  • SEIZURES
  • EEG

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