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bci3eval

PURPOSE ^

BCI3eval evaluations a BCI-result as suggested in [1,2].

SYNOPSIS ^

function [o] = bci3eval(x1,x2,DIM)

DESCRIPTION ^

 BCI3eval evaluations a BCI-result as suggested in [1,2]. 
   - It returns the classification error, the signal to noise ratio, 
   the mutual information, as well as mean, standard error and 
   standard deviation for both classes. 
   - time course of these resulting parameters are supported
   - Missing values can be encoded as NaN.   
 

 [o] = bci3eval(x1, x2 [,DIM])

 x1 is the bci output for class 1 
 x2 is the bci output for class 2
 o is a struct with various results  


 see also: SUMSKIPNAN, PLOTA

 REFERENCES:
 [1] Schl�l A., Neuper C. Pfurtscheller G.
    Estimating the mutual information of an EEG-based Brain-Computer-Interface
    Biomedizinische Technik 47(1-2): 3-8, 2002.
 [2] A. Schl�l, C. Keinrath, R. Scherer, G. Pfurtscheller,
    Information transfer of an EEG-based Bran-computer interface.
    Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, pp.641-644, Mar 20-22, 2003.
 [3] A. Schl�l, Evaluation of the dataset III of the BCI-competition 2003.
    http://ida.first.fraunhofer.de/projects/bci/competition/results/TR_BCI2003_III.pdf

CROSS-REFERENCE INFORMATION ^

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