EEG Feature Selection Based on Time Series Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212220" target="_blank" >RIV/68407700:21230/13:00212220 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12410/13:43885709
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-39712-7_40" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-39712-7_40</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-39712-7_40" target="_blank" >10.1007/978-3-642-39712-7_40</a>
Alternative languages
Result language
angličtina
Original language name
EEG Feature Selection Based on Time Series Classification
Original language 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 performanceof 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AN - Psychology
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
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-642-39711-0
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
520-527
Publisher name
Springer
Place of publication
Heidelberg
Event location
New York
Event date
Jul 19, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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