Research Publications in journals:
Signal to noise ratio of the MEG signal after preprocessing
? The signal-to-noise ratio of event-related fields is used to evaluate the effectiveness of various preprocessing algorithms for magnetoencephalography data.
? Signal Space Separation algorithms provide approximately a 100% increase in signal to noise ratio.
? Epoch-based artifact rejection and decomposition methods such as independent component analysis yielded a signal to noise ratio increase of 5?10% and 35% respectively. The use of decomposition methods seems advisable.
? The evaluation of the signal-to-noise ratio increase can help to guide the choice of preprocessing methods.