National Repository of Grey Literature 12 records found  previous11 - 12  jump to record: Search took 0.01 seconds. 
Analysis of EEG signal using principal component analysis (PCA)
Walczysko, Martin ; Vítek, Martin (referee) ; Rychtárik, Milan (advisor)
In the beginning of the bachelor’s thesis is dealt with the measurement of EEG signals in the laboratory of Department of Biomedical Engineering at FEEC BRNO and following processing in programming environment Matlab. The aim of the thesis tries to demonstrate the analysis of EEG dates using the principal components analysis. There are shown the using possibilities for reducing the dimension of input’s dates. It is considered the lay-out of electrodes, the duration of recording or existing artifact. There is also conducted a study of highlighting the abnormalities contained in EEG in order to easier detection. In the end are outlined the possibilities of using the ICA for analysis of EEG and eventually for removing unwanted artifacts.

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