MORPHOLOGICAL CLUSTERING OF INTERICTAL EPILEPTIFORM DISCHARGES IN INTRACRANIAL ELECTROENCEPHALOGRAPHY

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00209880" target="_blank" >RIV/68407700:21230/13:00209880 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985823:_____/13:00441020

Výsledek na webu

<a href="http://www.humusoft.cz/akce/matlab13/sbornik/" target="_blank" >http://www.humusoft.cz/akce/matlab13/sbornik/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

MORPHOLOGICAL CLUSTERING OF INTERICTAL EPILEPTIFORM DISCHARGES IN INTRACRANIAL ELECTROENCEPHALOGRAPHY

Popis výsledku v původním jazyce

Selected patients with refractory epilepsy can benefit from surgical treatment. The main purpose of presurgical examination is to identify and delineate epileptogenic areas of the brain which should be removed. Epileptogenic areas are determined according to the spatial distribution of seizure onsets, interictal epileptiform discharges or high-frequency oscillations. Specificity of interictal epileptiform discharges to mark epileptogenic tissue is decreased by the fact, that they are also observed outside the epileptogenic areas. To improve the localizing yield of interictal discharges, identification of specific features of the discharges generated only within epileptogenic region is required. The main aim of this project was to develop self-clustering algorithm which will discriminate distinct populations of interictal epileptiform discharges according to the morphology of their waveforms. First step of the developed algorithm extracts nine basic morphological features of each interi

Název v anglickém jazyce

MORPHOLOGICAL CLUSTERING OF INTERICTAL EPILEPTIFORM DISCHARGES IN INTRACRANIAL ELECTROENCEPHALOGRAPHY

Popis výsledku anglicky

Selected patients with refractory epilepsy can benefit from surgical treatment. The main purpose of presurgical examination is to identify and delineate epileptogenic areas of the brain which should be removed. Epileptogenic areas are determined according to the spatial distribution of seizure onsets, interictal epileptiform discharges or high-frequency oscillations. Specificity of interictal epileptiform discharges to mark epileptogenic tissue is decreased by the fact, that they are also observed outside the epileptogenic areas. To improve the localizing yield of interictal discharges, identification of specific features of the discharges generated only within epileptogenic region is required. The main aim of this project was to develop self-clustering algorithm which will discriminate distinct populations of interictal epileptiform discharges according to the morphology of their waveforms. First step of the developed algorithm extracts nine basic morphological features of each interi

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

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

21th Annual Conference Proceedings Technical Computing Prague 2013

ISBN

978-80-7080-863-4

ISSN

2336-1662

e-ISSN

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Počet stran výsledku

9

Strana od-do

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Název nakladatele

Humusoft

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

13. 11. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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