Automatic Removal of Sparse Artifacts in Electroencephalogram
Result description
In this paper we propose a method to identify and remove artifacts, that have a relatively short duration, from complex EEG data. The method is based on the application of an ICA algorithm to three non-overlapping partitions of a given data, selection ofsparse independent components, removal of the component, and the combination of three resultant signal reconstructions in one final reconstruction. The method can be further enhanced by applying wavelet de-noising of the separated artifact components.
Keywords
electroencephalogramartifact removalindependent component analysis
The result's identifiers
Result code in IS VaVaI
Alternative codes found
RIV/68407700:21340/11:00181031 RIV/68407700:21460/11:00181031
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Removal of Sparse Artifacts in Electroencephalogram
Original language description
In this paper we propose a method to identify and remove artifacts, that have a relatively short duration, from complex EEG data. The method is based on the application of an ICA algorithm to three non-overlapping partitions of a given data, selection ofsparse independent components, removal of the component, and the combination of three resultant signal reconstructions in one final reconstruction. The method can be further enhanced by applying wavelet de-noising of the separated artifact components.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
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
Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011
ISBN
978-989-8425-35-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
SciTePress
Place of publication
Lisabon
Event location
Rome
Event date
Feb 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Result type
D - Article in proceedings
CEP
FH - Neurology, neuro-surgery, nuero-sciences
Year of implementation
2011