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Description
  • The paper is focused on high frequency oscillations and their automated detection. This phenomena occurs in EEG of epileptic patients. Localization of these events lead to epileptogenic tissue. With more information neurologist can make better diagnose. Using detection algorithms can help obtain more information from signals. This should lead to better patient outcome. We discuss the possibility of using automatic detectors of high frequency activity in intracranial EEG as a support for human recording evaluation. Nowadays exist various algorithms for HFO detection with different approach and used methods. We have chosen and implemented several published detectors and developed our own algorithms. We compared their parameters on set of expert labeled records from patients with epilepsy. Results of algorithms are reviewed and discussed their quality output with respect to clinical practice and its utility in the diagnosis of epilepsy.
  • The paper is focused on high frequency oscillations and their automated detection. This phenomena occurs in EEG of epileptic patients. Localization of these events lead to epileptogenic tissue. With more information neurologist can make better diagnose. Using detection algorithms can help obtain more information from signals. This should lead to better patient outcome. We discuss the possibility of using automatic detectors of high frequency activity in intracranial EEG as a support for human recording evaluation. Nowadays exist various algorithms for HFO detection with different approach and used methods. We have chosen and implemented several published detectors and developed our own algorithms. We compared their parameters on set of expert labeled records from patients with epilepsy. Results of algorithms are reviewed and discussed their quality output with respect to clinical practice and its utility in the diagnosis of 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)
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  • 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)
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  • RIV/68407700:21230/14:00223008!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • S
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http://linked.open...aciTvurceVysledku
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  • 8010
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00223008
http://linked.open...riv/jazykVysledku
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  • Epilepsy; iEEG; HFO; Automated detection, Comparison (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [107152076E5C]
http://linked.open...v/mistoKonaniAkce
  • Portugalsko (Lisabon)
http://linked.open...i/riv/mistoVydani
  • Lisboa
http://linked.open...i/riv/nazevZdroje
  • 2014 IEEE International Symposium on Medical Measurement and Applications Proceedings
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  • Balach, Jiří
  • Ježdík, Petr
  • Čmejla, Roman
  • Kršek, P.
  • Jiruška, P.
  • Marusič, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/MeMeA.2014.6860107
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4799-2920-7
http://localhost/t...ganizacniJednotka
  • 21230
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