Epilepsy Detection in EEG Using Grassmann Discriminant Analysis Method

Table 3

The performance of FMGDA algorithms in the epilepsy detection of two categories. All the data were classified into two categories corresponding to the healthy person and epileptic person, respectively.

Ratio
0.1	0.6722	0.5500	0.6444	0.5833	0.5657	0.5444	0.5556	0.5778	0.5667	0.4833	0.5722	0.5167	0.4889	0.4833
0.2	0.7750	0.5625	0.6313	0.6250	0.64338	0.5938	0.6063	0.5438	0.5125	0.5250	0.5750	0.5188	0.5375	0.4688
0.4	0.5583	0.5833	0.6500	0.6583	0.5333	0.5833	0.5917	0.5833	0.5250	0.5750	0.6083	0.4333	0.5167	0.5667
0.6	0.6000	0.6125	0.6125	0.5500	0.6375	0.5375	0.6375	0.6625	0.5875	0.4125	0.4875	0.4750	0.5500	0.5250
0.8	0.6000	0.5000	0.6000	0.6750	0.7000	0.6250	0.6500	0.6250	0.6000	0.6250	0.3250	0.5250	0.5500	0.6500