Abstract / truncated to 115 words (read the full abstract)

The brain is the most important signal processing unit in the human body. It is responsible for receiving, processing and storing information. One of the possibilities to study brain functioning is by placing electrodes on the scalp and recording the synchronous neuronal activity of the brain. Such a recording measures a combination of active processes in the whole brain. Unfortunately, it is also contaminated by artifacts. By extracting the artifacts and removing them, cleaned recordings can be investigated. Furthermore, it is easier to look at specific brain activities, like an epileptic seizure, than at a combination. In this thesis, we present different mathematical techniques that can be used to extract individual contributing sources from the ... toggle 7 keywords

ICA CCA PARAFAC candecomp multilinear EEG epilepsy


De Vos, Maarten
Katholieke Universiteit Leuven
Publication Year
Upload Date
Dec. 21, 2009

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