MEG signal enhancement using a two-point maximum entropy regularization method

A two-point maximum entropy regularization method (TPMEM) was investigated for signal enhancement of magnetoencephalography (MEG) data, as a potential replacement for current low-pass (LP) filtering techniques. TPMEM was found to have superior noise reduction and signal recovery capabilities over the LP filter, and MEG data processed with TPMEM yields less error in reconstructed dipole position and orientation.