TABLE 1.

Decoding performance (mean ± SD) for sustained hand movements when using a recurrent neural network (LSTM type) with repeatability-based feature selection.

Participant	Open-close hand		Thumb-middle flexion
	SEEG	HD ECoG	SEEG	HD ECoG
P1	77.48 ± 3.65%1 (19 sites, 3 in sensorimotor)	79.98 ± 0.48%1 (30 sites)	83.92 ± 2.25%2 (39 sites)	70.06 ± 1.35%2 (22 sites)
P2_02	91.61% ± 1.29% (27 sites)	N/A	84.29% ± 1.46% (33 sites)	N/A
P3	92.04 ± 1.51% (16 sites)	88.41 ± 3.36% (43 sites)	91.69 ± 0.49% (37 sites)	87.40 ± 1.03% (60 sites)

¹The sampling rate used was 1,024 Hz (due to system limitations at time of recording). ²The sampling rate used was 512 Hz (due to system limitations at time of recording). MCC threshold ranged from 0.55 to 0.6, the number of hidden units ranged from 400 to 600, and the patience ranged from 2 to 7.