User Tutorial:Data Analysis
From BCI2000 Wiki
There is a number of data analysis tutorials provided. These show how to analyze some sample data that is included with BCI2000.
Contents |
Mu Rhythm/SMR Data Analysis
- will guide you through an offline analysis using some sample EEG data included with BCI2000.
- 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:
- will guide you through an offline analysis using some sample ECoG data included with BCI2000
- will guide you through an offline analysis using some sample MEG data included with BCI2000
P300/ERP Data Analysis
- 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:
- will guide you through a time-domain offline analysis using some sample ECoG data included with BCI2000
- 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
For users who wish to go beyond the constraints of the analysis procedures in the tutorials, the following resources may be useful:
- 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.
See also
User Tutorial:BCI2000 Tour, User Tutorial:Mu Rhythm BCI Tutorial, User Tutorial:P300 BCI Tutorial
