Using the parametric time-varying analog filter to average-evoked potential signals

Processing of the brainstem auditory-evoked potential (BAEP) signal is achieved with a simple averaging over a number of realizations. The proposed filtering method of the BAEP signal is an extremely attractive alternative for long-duration examination with a repeated stimulus. Repetitive stimulation (20-30 times) allows additional averaging to be performed on the signal under extremely high noise conditions. Using averaging in time with a parametric filter (in real time) and then averaging over realizations is a completely new approach to the averaging of the BAEP signal. When we visually compare shapes of responses after a number of realization, we notice that the result of 20 realizations with simultaneous averaging in time with parametric filters is much better than simple, standard averaging with 20 realizations, and also as good as averaging with 1000 realizations. Simple calculations show that the time of examination could be reduced many times.