Fig. 2From: An on-line processing strategy for head movement interferences removal of dynamic brain electrical impedance tomography based on wavelet decompositionIllustration of the wavelet decomposition coefficients’ rejection probability and its comparison with threshold probability. For coefficient \( w \), its corresponding rejection probability is \( p_{w} \), which is the integration from \( - \left| w \right| \) to \( \left| w \right| \) with assumed Gaussian probability density function. \( T \) is the threshold of \( w \) and \( p_{T} \) is corresponding threshold of \( p_{w} \). If \( w \) is artifact-free, the coefficients are spread around zero. Then the \( p_{w} \) will be less than \( p_{T} \). If \( w \) is contaminated with movement artifacts, the coefficients will be discretely distributed and \( p_{w} \) will be larger than \( p_{T} \)Back to article page