Analysis of wavelet preprocessed auditory brainstem responses with self-organizing feature maps

Auditory brainstem responses (ABR), recorded from several subjects with normal hearing, were used to train several self-organizing networks (SON). The resultant self-organizing feature maps (SOFM), using intra-subject data, showed promising results with respect to classification of ABR into low, mid, high and no-response regions. Although initial training with averaged ABR was lengthy, wavelet preprocessing helped to reduce computational time while retaining the same promising results.