Multi-Channel EEG Signal Segmentation and Feature Extraction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F10%3A00023536" target="_blank" >RIV/60461373:22340/10:00023536 - 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
Multi-Channel EEG Signal Segmentation and Feature Extraction
Original language description
The paper is devoted to application of multi-channel signal processing methods for electroencephalogram signal analysis including signal de-noising, evaluation of its principal components and segmentation based upon feature detection both by the discretewavelet transform and discrete Fourier transform. The self-organizing neural networks are then used for pattern vectors classification.
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)
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
Proceedings of 14th IEEE Int. Conf. on Intelligent Engineering Systems INES 2010
ISBN
978-1-4244-7651-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Hungary
Place of publication
Budapest
Event location
Las Palmas de Gran Canaria, Spain
Event date
Jan 1, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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