Table 2.

Bi-class accuracy of evaluated CNN training strategies, using the CWT-extracted vectors and either dropping strategy: CWT* with sensorimotor electrodes and CWT** with thresholding. In all compared cases, both sub-bands ($\mu$ and $\beta$) are included and the CNN parameters are tuned individually

Subjects	[41]	[42]	CWT	$\kappa$	CWT*	$\kappa$	CWT**	$\kappa$
A03T	88.2	91.7	95.0 ± 4.6	0.67	96.4 ± 4.8	0.92	95.0 ± 4.6	0.90
A09T	82.7	90.9	94.8 ± 4.2	0.68	93.1 ± 6.5	0.86	94.0 ± 6.3	0.88
A08T	91.8	92.3	$\underset{\_}{94.0\pm 4.6}$	0.90	97.0±3.6	0.94	94.7 ± 4.9	0.89
A06T	65.7	78.5	86.7 ± 7.2	0.71	84.9 ± 9.0	0.69	86.7 ± 7.2	0.73
A07T	51.7	86.5	86.4 ± 6.7	0.58	$\underset{\_}{81.9\pm 6.2}$	0.64	85.6 ± 9.3	0.71
A04T	53.9	80.4	85.4 ± 7.3	0.73	86.1 ± 7.5	0.72	87.6 ± 5.0	0.75
A02T	63.9	68.4	83.8 ± 6.5	0.73	80.3 ± 6.2	0.61	81.7 ± 4.8	0.63
A01T	79.4	87.8	83.4 ± 5.5	0.88	81.1 ± 5.0	0.62	83.2 ± 3.9	0.66
A05T	54.9	88.9	79.1 ± 4.8	0.90	78.3 ± 7.4	0.57	76.7 ± 6.9	0.53
Average	70.2	85.0 ± 7.4	87.6 ± 5.7	0.75	86.6 ± 6.2	0.73	87.4 ± 5.7	0.74