Title :
A method for extracting subspace of deterministic sources from EEG data
Author :
Ivannikov, Andriy ; Kärkkäinen, Tommi ; Ristaniemi, Tapani ; Lyytinen, Heikki
Author_Institution :
Dept. of Math. Inf. Technol., Univ. of Jyvaskyla, Jyvaskyla
Abstract :
In this paper, an algorithm for separating linear subspaces of time-locked brain responses and other noise sources in multichannel electroencephalography data is proposed. The search criterion used by method discriminates time-locked brain components and noise components on the basis of the assumed deterministic behavior that the time-locked brain sources obey. The comprehensive derivation of the method is given together with the description and the analysis of the results of the method´s application to simulated and real EEG data sets. The possibilities of improving the results are also discussed.
Keywords :
biology computing; brain; electroencephalography; EEG data; multichannel electroencephalography data; noise components; time-locked brain responses; Analytical models; Brain modeling; Data mining; Electroencephalography; Enterprise resource planning; Information technology; Noise reduction; Psychology; Signal to noise ratio; Time measurement;
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location :
St Julians
Print_ISBN :
978-1-4244-1687-5
Electronic_ISBN :
978-1-4244-1688-2
DOI :
10.1109/ISCCSP.2008.4537438
