Comparison of Various Approaches for P3 Component Detection using Basic Methods for Signal Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43897701" target="_blank" >RIV/49777513:23520/11:43897701 - 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
Comparison of Various Approaches for P3 Component Detection using Basic Methods for Signal Processing
Original language description
The paper deals with ERP (Event related potentials) components detection using wavelet transform (both continuous and discrete form), matching pursuit algorithm and Hilbert-Huang transform. The EEG/ERP domain is shortly introduced and essential information about EEG and ERP signals is given. The wavelet transform, matching pursuit algorithm, and Hilbert-Huang transform are introduced and their suitability for ERP components detection is described. Experimental results obtained by using these algorithmsfor P3 component detection are summarized.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2011 th International Conference on Biomedical Engineering and Informatics
ISBN
978-1-4244-9350-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
700-704
Publisher name
IEEE
Place of publication
New York
Event location
Shanghai, China
Event date
Oct 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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