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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Lectures and Presetations
Methods of Artefact Elimination in EEG Data Using Independent Component Analysis
Lecturer:
From:
Dec. 20 2005 10:20AM
To:
Dec. 20 2005 10:40AM
Place:
ÚTIA AV ČR
Description:
In this lecture, several state-of-art algorithms to perform independent component analysis will be presented, including both (A) algorithms that utilize non-Gaussianity of the original signals, and (B) algorithms that are based on
differences in time correlation functions of the signals. Several case study examples will be presented to shown how these algorithms can be used for elimination of artifact of different kind in Electroencephalograms, or for separation of epileptic activity (if it is present).
differences in time correlation functions of the signals. Several case study examples will be presented to shown how these algorithms can be used for elimination of artifact of different kind in Electroencephalograms, or for separation of epileptic activity (if it is present).
Contact person:
Within the event:
International Workshop on Data - Algorithms - Decision Making (Contact person: Martin Janžura)
attachment4:
Fotografie (Tichavský) [file]