Table 2.

The RtcBCI classification accuracies (a chance level of 20.0%) obtained with the information geometry–based MDM classifier versus the standard SWLDA method together with grand mean difference significance p-values obtained from pairwise rank–sum tests.

Classifier type	BCI accuracy depending on a number of averaged ERPs
	1	2	3	4	5
MDM (%)	61.1±12.5	99.6±0.8	100.00±0.0	100.00±0.0	100.00±0.0
SWLDA (%)	23.0±23.2	22.0±23.2	26.2±19.6	26.8±20.8	24.8±23.0
Significance	p ≪ 0.001	p ≪ 0.001	p ≪ 0.001	p ≪ 0.001	p ≪ 0.001