User Tutorial:Data Analysis

There is a number of data analysis tutorials provided. These show how to analyze some sample data that is included with BCI2000.

Mu Rhythm/SMR Data Analysis

• Performing an Offline Analysis of EEG Data

will guide you through an offline analysis using some sample EEG data included with BCI2000.

• Interpreting the Results

will compare the results of the previous step with other similar data.

As we know, EEG data is not the only type of data that is of interest in BCI. Following are some additional tutorials for working with different types of datasets:

• Performing an Offline Analysis of ECoG Data

will guide you through an offline analysis using some sample ECoG data included with BCI2000

• Performing an Offline Analysis of MEG Data

will guide you through an offline analysis using some sample MEG data included with BCI2000

P300/ERP Data Analysis

• Performing a Time-Domain Offline Analysis of EEG Data

will guide you through a time-domain offline analysis using some sample EEG data included with BCI2000.

As we know, EEG data is not the only type of data that is of interest in BCI. Following is an additional tutorial for working with ECoG datasets:

• Performing a Time-Domain Offline Analysis of ECoG Data

will guide you through a time-domain offline analysis using some sample ECoG data included with BCI2000

• Using the P300Classifier tool

will show you how to train a classifier, and to obtain a set of configuration parameters, from data recorded with StimulusPresentation or P3Speller application modules.

Custom Data Analysis

BCI2000 data files can be loaded, read, and analyzed in both Matlab and Python. For users who wish to go beyond the constraints of the analysis procedures in the tutorials, the following resources may be useful:

• The BCI2000Analsyis tool may be used to create filter graphs from BCI2000 processing steps offline in a GUI, and to train classifiers.
• The BCI2000 command-line tools can be used to recreate a chain of BCI2000 processing steps offline, from a system command-line.
• The Matlab function bci2000chain, part of BCI2000's suite of Matlab tools, provides a convenient interface to this from within Matlab.
  • BCI2000 Data can be converted and analyzed using Matlab MEX Files
• Another option is to analyze BCI2000 Data in Python with BCI2k Reader

See also

User Tutorial:BCI2000 Tour, User Tutorial:Mu Rhythm BCI Tutorial, User Tutorial:P300 BCI Tutorial