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Vol. 100, Issue 1, January 2009, pp.51-57





Analyzing Electroencephalogram Signal Using EEG Lab


Mukesh BHARDWAJ and Avtar. K. NADIR

Lingaya’s Institute of Management & Technology Nachauli, Old Faridabad- 121002, India
Tel.: 91-129-2201008, 2201009, fax: +2202615

E-mail: mukeshbhardwaj4@gmail.com, avtarnadir@rediffmail.com



Received: 14 October 2008 /Accepted: 19 January 2009 /Published: 26 January


Abstract: The EEG is composed of electrical potentials arising from several sources. Each source (including separate neural clusters, blink artifact or pulse artifact) forms a unique topography onto the scalp – ‘scalp map‘. Scalp map may be 2-D or 3-D.These maps are mixed according to the principle of linear superposition. Independent component analysis (ICA) attempts to reverse the superposition by separating the EEG into mutually independent scalp maps, or components. MATLAB toolbox and graphic user interface, EEGLAB is used for processing EEG data of any number of channels. Wavelet toolbox has been used for 2-D signal analysis.


Keywords: Electro-encephalogram, Independent component analysis, ERP, EEG


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