Bci 2000 wiki offline analysis Offline#

Systems with MATLAB v7.0 or greater installed Startup Script If your system meets this requirement, please choose from one of the following:

Bci 2000 wiki offline analysis Offline#

In order to run BCI2000 Offline Analysis you'll need a system running Windows. topographic plots, ERP wave forms, spectra. Using this graph, one may identify and select individual channels and time offsets/frequencies for which to display more detailed information, i.e. For details about how r^2 values are computed, see Coefficient of Determination.ДЇinally, OfflineAnalysis produces a main graph that shows r^2 values, plotted over the two dimensions that locate a feature. The larger a feature's r^2, the more correlation exists between a feature's value and the condition under which it was recorded. That measure is called 'determination coefficient', or 'r^2 (r squared),' and is a number between 0 and 1. What OfflineAnalysis now does is that it uses these values to compute a number representing how much a feature's value tells about the condition under which it was recorded. Now, for a single feature, there exists a number of sampled values, taken from two sets (conditions). For mu rhythm data, one condition may be imagined movement of the left hand, while the other condition may be rest. Again, the meaning of these conditions depends on the type of data analyzed: For P300 data, one condition is the presentation of an unattended stimulus, while the other condition is the presentation of an attended stimulus. at a certain time offset after the stimulusДЇor mu rhythm (SMR) data, a single feature corresponds toДЄfter transformation from raw EEG into features, data are selected/sorted into two groups according to the conditions specified in the OfflineAnalysis GUI.

The set of features differs by the type of data analyzed as follows:ДЇor P300 (ERP) data, a single feature corresponds to In a first step, it transforms recorded data such that it is now represented by a certain set of features rather than by EEG time courses. The OfflineAnalysis tool operates in two steps.

2.2 Systems that do not have MATLAB installed or with versions that predate MATLAB v7.0.

2.1 Systems with MATLAB v7.0 or greater installed.