EEG signals similarity based on compression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092469" target="_blank" >RIV/61989100:27240/14:86092469 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1139/paper7.pdf" target="_blank" >http://ceur-ws.org/Vol-1139/paper7.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
EEG signals similarity based on compression
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 Lempel-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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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CEUR Workshop Proceedings. Volume 1139
ISBN
978-80-01-05482-6
ISSN
1613-0073
e-ISSN
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Number of pages
12
Pages from-to
59-70
Publisher name
ceur-ws.org
Place of publication
Aachen
Event location
Roudnice nad Labem
Event date
May 16, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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