Classification of EEG signals using Vector Quantization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092328" target="_blank" >RIV/61989100:27240/14:86092328 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092328
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-07176-3_10" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-07176-3_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07176-3_10" target="_blank" >10.1007/978-3-319-07176-3_10</a>

Result language
angličtina
Original language name
Classification of EEG signals using Vector Quantization
Original language description
Proper identification and classification of the EEG data still pauses a problem in the field of brain diagnosis. However, the application of such algorithm is almost unlimited as they may be involved in applications such as, brain computer interface forcontrolling of prosthesis, wheelchair, etc.. In this paper we are focusing on applying data compression in the classification of EEG signals. We combine a vector quantization and the normalized compression distance for proper classification of a finger movement data.
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

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