Algorithm 7 Empirical Mode Decomposition (EMD) for EEG Artifact Removal [82]

Input: X: EEG data matrix Output: Y: matrix of cleaned data Set the stopping criterion and number of maximum iterations. for each channel c in X do     Initialize $d_0=c$, $k=1$                                  ▹$d_k$: signal at iteration k     repeat         Find the local maxima and minima of $d_{k-1}$.         Compute the envelope by interpolating the maxima and minima.         Subtract the envelope from $d_{k-1}$ to obtain the detail component $h_k$.     ▹h: detail component         Update $d_k=d_{k-1}-h_k$.         Increment k.     until stopping criterion or maximum iterations are reached.     Compute the reconstructed signal as $r_c={\sum }_{i=1}^k{h}_i$.             ▹$r_c$: reconstructed signal for channel c     Store the cleaned signal in the corresponding row of Y. end for return  Y