Builds a classifier based on AAR parameters from BCI recordings.
The result includes also initial values for the next run.
CC=make_cc(fn,eegchan,trigchan,Fs)
e.g.
CC=make_cc('x21fb*')
CC=make_cc({'x21fb1.mat','x21fb2.mat'})
CC=make_cc(fn,[1,3],4,128)
default:
eegchan=[1,3];
trigchan=4;
Fs=128;
References:
[1] Schl�l A., Neuper C. Pfurtscheller G. (2002)
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, (2003)
Information transfer of an EEG-based Bran-computer interface.
Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, Capri, Italy, Mar 20-22, 2003.
[3] A. Schl�l, D. Flotzinger and G. Pfurtscheller (1997)
Adaptive Autoregressive Modeling used for Single-trial EEG Classification
Biomedizinische Technik 42: (1997), 162-167.
[4] A. Schl�l, C. Neuper and G. Pfurtscheller (1997)
Subject-specific EEG pattern during motor imagery
Proceedings of the 19th Annual International Conference if the IEEE Engineering in Medicine and Biology Society , vol 19, pp.1530-1532, 1997.
[5] A. Schl�l, K. Lugger and G. Pfurtscheller (1997)
Using Adaptive Autoregressive Parameters for a Brain-Computer-InterfaceExperiment,
Proceedings of the 19th Annual International Conference if the IEEE Engineering in Medicine and Biology Society ,vol 19 , pp.1533-1535, 1997.