Table 1.

Classification performances of proposed methodology for motor imagery versus rest task across all feature combinations.

Feature combinations	S1			S2			S3			S4			S5
	Accuracy	Precision	Recall	Accuracy	Precision	Recall	Accuracy	Precision	Recall	Accuracy	Precision	Recall	Accuracy	Precision	Recall
Signal peak (SP) and signal skewness (SSk)	76.3	73.6	78.8	82.3	78.1	91.9	73.9	70.3	85.6	84.9	87.2	82.3	89.9	90.9	92.9
Signal mean (SM) and SSk	79.5	78.0	74.0	83.7	91.2	82.3	82.6	85.7	75.8	81.4	89.5	71.1	84.1	87.1	75.9
Signal slope (SS) and SSk	73.6	75.3	70.4	63.4	72.3	36.8	69.3	65.0	83.8	79.6	71.8	97.5	87.9	93.4	81.6
Signal kurtosis (SK) and SSk	71.1	80.3	56.0	55.4	60.3	31.8	66.4	73.1	52.0	80.5	86.0	72.9	82.9	83.7	81.6
Signal variance (SV) and SSk	78.5	74.1	87.7	87.4	88.5	85.9	60.6	61.0	59.2	74.4	70.1	84.8	90.4	89.2	92.1
SP and SK	76.4	73.5	82.3	80.1	74.1	92.8	71.3	76.8	61.0	81.4	86.6	74.4	84.8	77.7	97.8
SM and SK	73.5	71.8	77.3	70.4	74.7	61.7	74.5	84.0	60.6	79.1	85.2	70.4	79.1	72.3	94.2
SS and SK	73.6	74.3	72.2	66.1	77.6	45.1	70.6	82.4	52.3	77.1	69.5	96.4	89.9	92.0	87.4
SV and SK	76.4	75.0	79.1	85.7	90.2	80.1	65.2	70.6	52.0	67.3	70.9	58.8	81.9	82.2	81.6
SM and SP	74.4	74.4	74.4	84.7	79.4	93.5	70.4	80.2	54.2	83.4	86.9	78.7	91.5	85.5	98.7
SM and SV	74.7	72.9	78.7	86.3	86.5	85.9	72.2	88.7	50.9	78.7	81.9	73.6	76.7	82.5	67.9
SS and SP	72.4	73.5	70.0	82.1	77.5	90.6	70.6	73.4	64.6	81.9	77.2	90.6	89.0	95.4	81.9
SS and SV	70.4	72.2	66.4	86.6	92.1	80.1	65.9	65.4	67.5	78.5	72.4	92.1	84.7	94.0	74.0
SV and SP	76.2	72.6	84.1	84.3	85.2	83.0	66.4	66.9	65.0	82.3	81.2	84.1	85.4	85.0	85.9
SM and SS	73.5	77.1	66.8	67.5	70.0	61.4	68.6	66.8	74.0	80.0	72.0	98.2	88.1	87.8	88.4