Classification of Long-Term EEG Recordings

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03102014" target="_blank" >RIV/68407700:21230/04:03102014 - isvavai.cz</a>
Alternative codes found
RIV/00064211:_____/05:#0000061
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Classification of Long-Term EEG Recordings
Original language description
Computer assisted processing of long-term EEG recordings is gaining a growing importance. To simplify the work of a physician, that must visually evaluate long recordings, we present a method for automatic processing of EEG based of learning classifier.This method supports the automatic search of long-term EEG recording and detection of graphoelements - signal parts with characteristic shape and defined diagnostic value. Traditional methods of detection show great variety of non-stationary EEG. The idea of this method is to break down the signal into stationary sections called segments using adaptive segmentation and create a set of normalized discriminative features are used for classification describe classes of unknown segments. The implementationof this method was experimentally verified on a real EEG with the diagnosis of epilepsy.
Czech name
Není k dispozici
Czech description
Není k dispozici

Project
<a href="/en/project/NF7511" target="_blank" >NF7511: Automatic EEG analysis during long-term monitoring in neurological ICU.</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)