CRITERIA4MOMENTARYBCI evaluates the output of momentary self-paced BCI
[K1,K2,K3] = criteria4momentarybci(TO,Fs,TRIG,ERW)
Input:
TO transducer output: 0 is no control state, i>0 is i-th control state
Fs sampleing rate
TRIG trigger information - its a vector in case of a single IC state
othewise TRIG{K} are the triggers for the K-th IC state
ERW expected response window in seconds, default=[-0.5,+0.5]
output:
K1 result the rule-based (heuristic) approach [1]
K2 results of the sample-by-sample approach
K3 result by Fatourechi's Method
K1.HF hf-difference
K{123}.kappa Cohen's kappa coefficient
K{123}.H Confusion matrix
References:
[1] Jane E. Huggins, Michael T. McCann, …
Comparison of Evaluation Metrics for an ECoG-based Momentary BCI.
https://ctools.umich.edu/access/content/attachment/5fa4908e-eaba-4e67-8eee-d92169c70726/kappa_vs_HF_windowed2_jeh3.doc
[2] M Fatourechi, R K Ward, and G E Birch
A self-paced brain–computer interface system with a low false positive rate
J. Neural Eng. 5: 9–23, 2008.