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