Compression-based similarity in EEG signals

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092467" target="_blank" >RIV/61989100:27240/14:86092467 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ISDA.2013.6920743" target="_blank" >http://dx.doi.org/10.1109/ISDA.2013.6920743</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISDA.2013.6920743" target="_blank" >10.1109/ISDA.2013.6920743</a>

Result language
angličtina
Original language name
Compression-based similarity in EEG signals
Original language description
The electrical activity of brain or EEG signal is very complex data system that may be used to many different applications such as device control using mind. It is not easy to understand and detect useful signals in continuous EEG data stream. In this paper, we are describing an application of data compression which is able to recognize important patterns in this data. The proposed algorithm uses Lampel-Ziv complexity for complexity measurement and it is able to successfully detect patterns in EEG signal.
Czech name
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Czech description
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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>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2013 International Conference on Intelligent Systems Design and Applications (ISDA 2013) : Universiti Putra Malaysia, Malaysia, 08-10 December, 2013
ISBN
978-1-4799-3516-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
247-252
Publisher name
IEEE
Place of publication
New York
Event location
Serdang, Selangor
Event date
Dec 8, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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