Algorithm 6 DWT based denoising of EEG signal [79]

Input: X: EEG data matrix (rows represent the EEG channels) Output: Y: matrix of cleaned data Set the wavelet basis and level of decomposition for each channel c in X do     Compute the DWT coefficients of c at each level using the fatigue wavelet basis.     Identify the approximation coefficients at the desired level as the artifact-free signal.     Threshold the detail coefficients using a soft or hard thresholding technique.     Reconstruct the cleaned signal by inverse DWT using the modified coefficients.     Store the cleaned signal in the corresponding row of Y. end for return Y