An Incremental Approach to Clinical EEG Data Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00219615" target="_blank" >RIV/68407700:21230/15:00219615 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/15:00219615
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-11128-5_122" target="_blank" >http://dx.doi.org/10.1007/978-3-319-11128-5_122</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11128-5_122" target="_blank" >10.1007/978-3-319-11128-5_122</a>

Result language
angličtina
Original language name
An Incremental Approach to Clinical EEG Data Classification
Original language description
Experimental verification of two approaches of incremental learning to clinical EEG data classification is presented. Three datasets were used to evaluate their performance. In particular sleep, artifact and newborn EEG signals. Most accurate classifiersthat are able to detect unwanted elements in EEG signal are found using artifact data set and tested on sleep and newborn datasets. Classification is performed using two incremental classifiers: Support Vector Machine and 1-Nearest Neighbors. The classifiers are able to classify sleep (10%) and newborn (0.5%) datasets by learning the shortest part of the data set with sufficient accuracy at least 70%. Better and quicker results were obtained by random rather than sequential selection of data. In conclusion it means that the classification is made fast. The incremental approach is supposed to save time, which neurologists spend during manual EEG signal scoring.
Czech name
—
Czech description
—

Project
<a href="/en/project/EE2.3.30.0034" target="_blank" >EE2.3.30.0034: Support of inter-sectoral mobility and quality enhancement of research teams at Czech Technical University in Prague</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IFMBE Proceedings - 6th European Conference of the International Federation for Medical and Biological Engineering
ISBN
978-3-319-11127-8
ISSN
1680-0737
e-ISSN
—
Number of pages
4
Pages from-to
489-492
Publisher name
Springer
Place of publication
Heidelberg
Event location
Dubrovník
Event date
Sep 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000349454200122

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