A New Detection Method for Short Latency of Auditory Evoked Potentials Using Stationary Wavelets

It is well known that discrete stationary wavelet analysis (DSWA) is applied to waveform analysis of auditory evoked potentials (AEPs). We also applied the DSWA to Auditory Brainstem Responses (ABRs), where an ABR is a type of AEPs. An ABR is evoked as human brain responses during 10 ms from input sound stimulation to the ears. The ABR is one of important indicators for the human objective audiometry. The ABR has been obtained by averaging many waveforms. Therefore the conventional methods sometimes need about two thousands waveforms for averaging. In this paper, the DSWA is applied to each process of averaging waveforms. The ABR consists of fast ABR and slow ABR. The fast ABR can be obtained by averaging only ten waveforms. On the other hand, the slow ABR seems to be a spontaneous electroencephalographic synchronization signal. To obtain the slow ABR needs to average three hundreds waveforms. We propose a concurrent processing method to detect peak latencies of ABR. Our proposed method detects peak latencies six times faster than the conventional methods.