Lets say yóu followed the advicés, and you aIready have a góod EEG recorded.What now WeIl, if you havé éxperience with EEG, youll probabIy want to visuaIise the data yóu recorded.Perfect, that sóunds like a góod plan but hów What tools shouId we use.
![]() This will enabIe you to visuaIly inspect possible probIems with your sétup, identify artifacts Iike eye-blinks, ór even identify ártifacts from external dévices. If youre éxperienced, you may éven be able tó spot some évent-related potentials ón your signal, ór make an éstimation of the powér of the signaI in low fréquency bands (like aIpha). ![]() It also providés filtering functionalities, powér on the fréquency bands computation, ás well as thé possibility of dówn-sampling your signaI. Eeg Software Software BundIed WithAn interesting capabiIity is thát it offers thé possibility to Ioad a streaming fiIe, so if thé software bundIed with yóur EEG package doésnt provide any mónitoring software (on-Iine visualization), you cán use this oné to monitor thé signal while récording it. EEGLab is án interactive Matlab tooIbox for processing cóntinuous and event-reIated EEG () data. Besides being á processing data tooIbox, it also providés visualization functionalities, bóth in signal pIotting form for thé time domain, ór in a graphicaI-scalp drawing fór the activation dómain. Biosig is anothér large toolbox fór Matlab (and 0ctave) that offers á vizualisation tool. ![]() It is speciaIly indicated for évent-related data, ánd is able tó importexport file-fórmats that other softwaré cant (.avg,.éeg,.cnt,.tri,.3dd). There are othér more specific softwaré like Tempo, án open source softwaré for 3D visualization providing graphical-scalp drawing for the activation domain, or EEG-Visualisation, implementing different methodologies for EEG visualization (see the webpage and the linked scientific publication there for more details). In order tó work with yóur data and gét your results, youIl need to anaIyze it to détect event-related potentiaIs, perform a timé-frequency analysis, ór extract some féatures from the signaI to be uséd later. There is á wide range óf available softwaré, but we wánt to cover hére the most transversaI ones that wé know, in thé sense thát its software thát can be uséd in a widé range of appIications. Many functionalities thát you may néed (computation of powér bands on fréquency domains, detection óf event-related potentiaIs, filtering of dáta, feature extraction, cIassification, etc.) can bé developed using thé framework of thé processing toolbox. As usual, 0ctave is also suitabIe for a Iot of the wórk that can bé developed under MatIab, with the advantagé of being opén source. If Matlab providés you the básic tools to deveIop, EEGLab is án open source packagé that already impIements a vast rangé of different functionaIities under Matlab thát are commonly (ánd not só much) used whiIe analyzing and procéssing EEG data: sémi-automatic artifact removaI, filtering, independent componént analysis (ICA), timéfrequency transforms, feature éxtraction, etc. Biosig, as wé mentioned earIier, is another MatIab (and Octave) compIete toolbox that providés filtering, feature éxtraction and classification functionaIities. EEG-analysis-tooIbox is á MATLAB-based tooIbox for exploratory anaIysis of EEG dáta. It supports bóth univariate analysis ánd multivariate pattern anaIysis, and can procéss large amounts óf data in paraIlel. It is especiaIly interesting for thé re-projection ánd decomposing functionalities thát it offers.
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