Feature Analysis of EEG Signals using SOM
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F10%3A00023394" target="_blank" >RIV/60461373:22340/10:00023394 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Feature Analysis of EEG Signals using SOM
Original language description
The electroencephalogram (EEG) represents an efficient technique to measure and record brain electrical activity. The most common use of EEG includes the monitoring and diagnosis of the brain states and their disorders. It is based on the search of characteristic patterns in EEG signals and their evaluation. In terms of signal processing it uses feature analysis, more specifically feature extraction and classification of signal components. The paper deals with the feature study of EEG signals by the self-organizing neural network (SOM). The SOM is an unsupervised method using a neighborhood function to preserve the topological properties of the input space. Resulting algorithm was implemented in MATLAB with many optional parameters that provide possibility to adjust the model to user's requirements. The graphical user interface was designed as well. General problems of feature analysis, such as extraction of appropriate characteristic features or evaluation of quality of clusters, were
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
18th Annual Conference Proceedings technical Computing Bratislava 2010
ISBN
978-80-970519-0-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
RT Systems
Place of publication
Bratislava
Event location
Bratislava
Event date
Jan 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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