Algorithm 1.

Source Distribution Association Algorithm Based on ICA.

Input: The multi-channel EEG signals, En; The multi-channel fNIRS signals, Fn;

Output: Channel layout with consistent number and location, ch;

1: Extract the set of independent sources of En based on ICA algorithm, named ICi;

2: Draw power spectral density on these independent components.

3: Select the two most obvious components that distinguish the left and right hands, which are marked as Seeg1, Seeg2

4: Extract the set of independent sources of Fn;

5: Calculated the change of the source signals’ oxyhemoglobin concentration between the task period and rest period;

6: Pick up the two components with the largest variation. Denoted these two components as Sfnirs1, Sfnirs2;

7: Observe the columns in the mixing matrix belong to the four source signals, and sort the channels according to their weights;

8: return ch;