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Updated: Aug 11, 2026

Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
On wavelet analysis of auditory evoked potentials
1Cooperative Research Centre for Sensor Signal and Information Processing (CSSIP), School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, QLD 4072, Australia.
Objective:
To determine a preferred wavelet transform (WT) procedure for multi-resolution analysis (MRA) of auditory evoked potentials (AEP).
Methods:
A number of WT algorithms, mother wavelets, and pre-processing techniques were examined by way of critical theoretical discussion followed by experimental testing of key points using real and simulated auditory brain-stem response (ABR) waveforms. Conclusions from these examinations were then tested on a normative ABR dataset.
Results:
The results of the various experiments are reported in detail.
Conclusions:
Optimal AEP WT MRA is most likely to occur when an over-sampled discrete wavelet transformation (DWT) is used, utilising a smooth (regularity >or=3) and symmetrical (linear phase) mother wavelet, and a reflection boundary extension policy.
Significance:
This study demonstrates the practical importance of, and explains how to minimize potential artefacts due to, 4 inter-related issues relevant to AEP WT MRA, namely shift variance, phase distortion, reconstruction smoothness, and boundary artefacts.
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