About: EEG Feature Selection Based on Time Series Classification

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-642-39712-7_40
Description	We propose novel method of EEG signal analysis based on classification of feature time series. The algorithm classifies sequences of feature values and it calculates the error rate both for each time step and overall sequence. We compared the performance of the algorithm with a standard feature selection method based on forward inter-intra criterion. Both algorithms selected similar features. The algorithm was tested on the EEG data from 2 experiments focused on of spatial navigation and orientation. Participants traversed through the virtual tunnels and they could adopt two different reference frames (allocenctric and egocentric) to solve the task. The EEG signal was recorded within both tasks and the methods of feature extraction and both standard and timeseries selection and classification were applied to it. We identified differences between the groups of participants adopting allocentric and egocentric frames of reference in the parietal and central electrodes in right hemisphere. The novel algorithm provided more detail analysis of the EEG features compared to classic feature classification. We propose novel method of EEG signal analysis based on classification of feature time series. The algorithm classifies sequences of feature values and it calculates the error rate both for each time step and overall sequence. We compared the performance of the algorithm with a standard feature selection method based on forward inter-intra criterion. Both algorithms selected similar features. The algorithm was tested on the EEG data from 2 experiments focused on of spatial navigation and orientation. Participants traversed through the virtual tunnels and they could adopt two different reference frames (allocenctric and egocentric) to solve the task. The EEG signal was recorded within both tasks and the methods of feature extraction and both standard and timeseries selection and classification were applied to it. We identified differences between the groups of participants adopting allocentric and egocentric frames of reference in the parietal and central electrodes in right hemisphere. The novel algorithm provided more detail analysis of the EEG features compared to classic feature classification. (en)
Title	EEG Feature Selection Based on Time Series Classification EEG Feature Selection Based on Time Series Classification (en)
skos:prefLabel	EEG Feature Selection Based on Time Series Classification EEG Feature Selection Based on Time Series Classification (en)
skos:notation	RIV/68407700:21230/13:00212220!RIV14-MSM-21230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(EE2.3.30.0049), P(GPP407/11/P696), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Vavrečka, Michal Lhotská, Lenka
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	71281
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/13:00212220
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	EEG; Reference Frames; Spatial Navigation; Virtual Environment (en)
http://linked.open.../riv/klicoveSlovo	EEG Reference Frames Spatial Navigation Virtual Environment
http://linked.open...ontrolniKodProRIV	[99D995452BE1]
http://linked.open...v/mistoKonaniAkce	New York
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	AN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Development of postdoc positions on USB Frames of Reference Processing in the 3D Environment and its EEG Analysis
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Lhotská, Lenka Vavrečka, Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-19 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-39712-7_40
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-39711-0
http://localhost/t...ganizacniJednotka	21230

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