Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223008" target="_blank" >RIV/68407700:21230/14:00223008 - isvavai.cz</a>

Výsledek na webu

<a href="http://memea2014.ieee-ims.org/" target="_blank" >http://memea2014.ieee-ims.org/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MeMeA.2014.6860107" target="_blank" >10.1109/MeMeA.2014.6860107</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG

Popis výsledku v původním jazyce

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 recordingevaluation. 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.

Název v anglickém jazyce

Comparison of Algorithms for Detection of High Frequency Oscillations in Intracranial EEG

Popis výsledku anglicky

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 recordingevaluation. 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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2014 IEEE International Symposium on Medical Measurement and Applications Proceedings

ISBN

978-1-4799-2920-7

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

466-469

Název nakladatele

IEEE

Místo vydání

Lisboa

Místo konání akce

Portugalsko (Lisabon)

Datum konání akce

11. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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