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Automatic Detection and Spatial Clustering of Interictal Discharges in Invasive Recordings

The result's identifiers

  • Result code in 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>

  • Alternative codes found

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

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Detection and Spatial Clustering of Interictal Discharges in Invasive Recordings

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    978-1-4673-5196-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    219-223

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Univ Quebec Outaouais

  • Event date

    May 4, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000326748000046