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User Reference:P300Classifier

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Revision as of 18:52, 17 August 2009 by Cmpotes (talk | contribs) (Data Pane)

Synopsis

The P300 Classifier GUI (Graphical User Interface) is a tool that allows to train and test a linear classifier for detection of evoked related potentials collected with BCI2000. This GUI is designed for the analysis of BCI2000 data collected using the P3Speller or P3AV paradigms. The program generates feature weights derived via the Stepwise Linear Regression technique. The specifics of the feature space and training routine can be manipulated using the GUI. The feature weights derived from the GUI can be saved and imported into BCI2000 as a parameter file fragment for online testing. The GUI provides the following functionality to investigators:

Classifier Training
Generates feature weights from BCI2000 P3Speller or P3AV data files
Classifier Testing
Applies current feature weights to BCI2000 P3Speller or P3AV data files and compares the results


Location

http://www.bci2000.org/svn/trunk/src/private/Tools/P300_classifier

Versioning

Author

Cristhian Potes

Source Code Revisions

  • Initial development: --
  • Tested under: --
  • Known to compile under: --
  • Broken since: --

Control Panel

The P300 Classifier GUI is composed of three panels: Data, Parameters, and Details.

Data Pane

Data Pane allows the user to:

  • Load training and testing data files and an INI file.
  • Generate and apply feature weights
  • Write a parameter file fragment
The two possible sources for the real-time feedback: log-score and real-time display


  • [1] Load Training Data Files: Use this button to load BCI2000 data files for training. The information for the selected files will appear at the top of the button.
  • [2] Load Testing Data Files: Use this button to load BCI2000 data files for testing. The information for the selected files will appear at the top of the button. Training and testing data files must be compatible.
  • [3] Load Ini File: Use this button to load an INI file with all the parameters needed for the feature extraction.
  • [4] Generate Feature Weights: Use this button to generate the feature weights after properly configuring all of the AutoScaleChannelList.

Methodology

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See also