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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F14%3A86092467%21RIV15-MSM-27240___
rdf:type
skos:Concept n17:Vysledek
dcterms: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. 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.
dcterms:title
Compression-based similarity in EEG signals Compression-based similarity in EEG signals
skos:prefLabel
Compression-based similarity in EEG signals Compression-based similarity in EEG signals
skos:notation
RIV/61989100:27240/14:86092467!RIV15-MSM-27240___
n4:aktivita
n10:S n10:P
n4:aktivity
P(ED1.1.00/02.0070), P(EE.2.3.20.0073), P(GPP202/11/P142), S
n4:dodaniDat
n20:2015
n4:domaciTvurceVysledku
Jahan, Ibrahim Salem Prílepok, Michal n9:4347269 n9:6026877
n4:druhVysledku
n15:D
n4:duvernostUdaju
n6:S
n4:entitaPredkladatele
n22:predkladatel
n4:idSjednocenehoVysledku
8449
n4:idVysledku
RIV/61989100:27240/14:86092467
n4:jazykVysledku
n13:eng
n4:klicovaSlova
LZ Complexity; Electroencephalography; EEG waves group; EEG data; EEG; BCI
n4:klicoveSlovo
n21:LZ%20Complexity n21:Electroencephalography n21:EEG n21:EEG%20waves%20group n21:EEG%20data n21:BCI
n4:kontrolniKodProRIV
[27A9F4885231]
n4:mistoKonaniAkce
Serdang, Selangor
n4:mistoVydani
New York
n4:nazevZdroje
Proceedings of the 2013 International Conference on Intelligent Systems Design and Applications (ISDA 2013) : Universiti Putra Malaysia, Malaysia, 08-10 December, 2013
n4:obor
n5:IN
n4:pocetDomacichTvurcuVysledku
4
n4:pocetTvurcuVysledku
4
n4:projekt
n11:GPP202%2F11%2FP142 n11:ED1.1.00%2F02.0070 n11:EE.2.3.20.0073
n4:rokUplatneniVysledku
n20:2014
n4:tvurceVysledku
Prílepok, Michal Jahan, Ibrahim Salem Snášel, Václav Platoš, Jan
n4:typAkce
n19:WRD
n4:zahajeniAkce
2013-12-08+01:00
s:numberOfPages
6
n8:doi
10.1109/ISDA.2013.6920743
n16:hasPublisher
IEEE
n18:isbn
978-1-4799-3516-1
n12:organizacniJednotka
27240