. "EEG signal processing; averaging; segmentation"@en . "Jur\u00E1k, Pavel" . . . "3"^^ . "Proceedings of the 4th International Conference on Measurement." . . "\u00DAstav merania SAV" . "Electro-encephalographical (EEG) signals are biological signals with a low signal-to-noise ratio (SNR) and usually are contaminated by 'biological noise'. In the case of periodical subject stimulation the accumulation of the EEG signal can be used to increase SNR. Final results depend on a pre-processing and on the segmentation parameters - synchronization with an event or with a reaction. Partial overview of methods is presented."@en . . "80-967402-6-1" . "0"^^ . . "4"^^ . "RIV/68081731:_____/03:12030017!RIV/2004/AV0/A12004/N" . "0"^^ . "603851" . . "[5F5BE84B1DFF]" . . . "3"^^ . . "Smolenice [SK]" . "Different Ways of EEG Data Analysis." . . "Smolenice" . "208 ; 210" . "Different Ways of EEG Data Analysis." . "Hal\u00E1mek, Josef" . "Electro-encephalographical (EEG) signals are biological signals with a low signal-to-noise ratio (SNR) and usually are contaminated by 'biological noise'. In the case of periodical subject stimulation the accumulation of the EEG signal can be used to increase SNR. Final results depend on a pre-processing and on the segmentation parameters - synchronization with an event or with a reaction. Partial overview of methods is presented." . . "2003-06-15+02:00"^^ . . "RIV/68081731:_____/03:12030017" . "Different Ways of EEG Data Analysis."@en . . . "Different Ways of EEG Data Analysis."@en . "P(GA102/02/1339), P(GP102/03/P175), Z(AV0Z2065902)" . "Chl\u00E1dek, Jan" . "Nestra\u0161il, I." . . . . . . .