Estimation of morphologically varying single evoked brain potentials

The authors present a new parametric estimator for single morphologically varying evoked potentials (MVEP´s). The estimator can detect changes in specific components within the evoked potential complex, extending current methods which only compensate for global latency and gain variations with respect to the averaged evoked response. The authors demonstrate the performance of the estimator on simulated signals at low signal to noise ratios and on movement related brain potentials. The results presented confirm that single MVEP´s can be successfully estimated from the noisy background activity, which enables tracking the transient qualities of single evoked responses throughout the experimental session