EEG data similarity using Lempel-Ziv complexity

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093036" target="_blank" >RIV/61989100:27240/14:86093036 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
EEG data similarity using Lempel-Ziv complexity
Original language description
Today still big challenge in world is to find efficient technique for perform recognition on mental tasks and distinguish between them. These allow us to use Brain Computer Interface applications to help disabled people to interact with environment and control external devices such as wheel chair. In this article we used EEG data from National University of Sciences and Technology, Pakistan, which are available online. We made our experiments on signals from one subject performing hand movement task. First we applied Faster Fourier Transformer (FFT), removing the EEG higher frequencies, applying the inverse Fourier transformer then converting EEG data into graphics by turtle graphics, then find the similarity between these trials by Lempel-Ziv complexity, to find maximum similarity between EEG data for same mental task. Our model reached average accuracy up to 52.63%. Springer-Verlag Berlin Heidelberg 2014.
Czech name
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Czech description
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Project
<a href="/en/project/EE.2.3.20.0073" target="_blank" >EE.2.3.20.0073: Bio-Inspired Methods: research, development and knowledge transfer</a><br>
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

Article name in the collection
Lecture notes in electrical engineering. Volume 282
ISBN
978-3-642-41967-6
ISSN
1876-1100
e-ISSN
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Number of pages
7
Pages from-to
289-295
Publisher name
Springer
Place of publication
Heidelberg
Event location
Ho Chi Minh City
Event date
Dec 10, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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