Automatic Detection and Spatial Clustering of Interictal Discharges in Invasive Recordings

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F13%3A10394583" target="_blank" >RIV/00064203:_____/13:10394583 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/13:00205873 RIV/00216208:11130/13:10394583

Výsledek na webu

<a href="https://doi.org/10.1109/MeMeA.2013.6549739" target="_blank" >https://doi.org/10.1109/MeMeA.2013.6549739</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MeMeA.2013.6549739" target="_blank" >10.1109/MeMeA.2013.6549739</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Detection and Spatial Clustering of Interictal Discharges in Invasive Recordings

Popis výsledku v původním jazyce

Interictal epileptiform discharges (spikes) represent electrographic marker of epileptogenic brain tissue. Besides ictal onsets, localization of interictal epileptiform discharges provides additional information to plan resective epilepsy surgery. The main goals of this study were: 1) to develop a reliable automatic algorithm to detect high and low amplitude interictal epileptiform discharges in intracranial EEG recordings and 2) to design a clustering method to extract spatial patterns of their propagation. For detection, we used a signal envelope modeling technique which adaptively identifies statistical parameters of signals containing spikes. Application of this technique to human intracranial EEG data demonstrated that it was superior to expert labeling and it was able to detect even small amplitude interictal epileptiform discharges. In the second task, detected spikes were clustered by principal component analysis according to their spatial distribution. Preliminary results showed that this unsupervised approach is able to identify distinct sources of interictal epileptiform discharges and has the potential to increase the yield of presurgical examination by improved delineation of the irritative zone.

Název v anglickém jazyce

Automatic Detection and Spatial Clustering of Interictal Discharges in Invasive Recordings

Popis výsledku anglicky

Interictal epileptiform discharges (spikes) represent electrographic marker of epileptogenic brain tissue. Besides ictal onsets, localization of interictal epileptiform discharges provides additional information to plan resective epilepsy surgery. The main goals of this study were: 1) to develop a reliable automatic algorithm to detect high and low amplitude interictal epileptiform discharges in intracranial EEG recordings and 2) to design a clustering method to extract spatial patterns of their propagation. For detection, we used a signal envelope modeling technique which adaptively identifies statistical parameters of signals containing spikes. Application of this technique to human intracranial EEG data demonstrated that it was superior to expert labeling and it was able to detect even small amplitude interictal epileptiform discharges. In the second task, detected spikes were clustered by principal component analysis according to their spatial distribution. Preliminary results showed that this unsupervised approach is able to identify distinct sources of interictal epileptiform discharges and has the potential to increase the yield of presurgical examination by improved delineation of the irritative zone.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

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

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

ISBN

978-1-4673-5196-6

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

219-223

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Univ Quebec Outaouais

Datum konání akce

4. 5. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000326748000046