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  • High frequency oscillations (HFOs) are novel biomarkers of epileptogenic tissue. Visual identification of HFO in long-term EEG recordings is time consuming due to low HFOs rate, low signal-to-noise ratio and presence of biological and technical artifacts. In this study, we have examined several algorithms of HFOs detection to facilitate analysis of intracranial recordings and increase their diagnostic yield. We have evaluated three newly designed and three published HFOs detectors. Detectors were applied on datasets containing HFOs labeled by experienced readers and their performance evaluated. Results of the detection and properties of the algorithms are reviewed and discussed in respect to clinical practice and their possible utilization during the diagnostic workup in patients with epilepsy.
  • High frequency oscillations (HFOs) are novel biomarkers of epileptogenic tissue. Visual identification of HFO in long-term EEG recordings is time consuming due to low HFOs rate, low signal-to-noise ratio and presence of biological and technical artifacts. In this study, we have examined several algorithms of HFOs detection to facilitate analysis of intracranial recordings and increase their diagnostic yield. We have evaluated three newly designed and three published HFOs detectors. Detectors were applied on datasets containing HFOs labeled by experienced readers and their performance evaluated. Results of the detection and properties of the algorithms are reviewed and discussed in respect to clinical practice and their possible utilization during the diagnostic workup in patients with epilepsy. (en)
Title
  • Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG
  • Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG (en)
skos:prefLabel
  • Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG
  • Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG (en)
skos:notation
  • RIV/00216208:11130/14:10293734!RIV15-MSM-11130___
http://linked.open...avai/riv/aktivita
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  • I, P(GA14-02634S)
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  • 8011
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  • RIV/00216208:11130/14:10293734
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  • epilepsy; algortithm comparision; automated detection; high-frequency oscillations; EEG (en)
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  • [E6C7A9A685E7]
http://linked.open...v/mistoKonaniAkce
  • Lisbon
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  • NEW YORK
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  • 2014 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA)
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  • Cmejla, R.
  • Marusič, Petr
  • Kršek, Pavel
  • Jiruška, Přemysl
  • Balach, J.
  • Jezdik, P.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000346747000086
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE
https://schema.org/isbn
  • 978-1-4799-2921-4
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  • 11130
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