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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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