On wavelet analysis of auditory evoked potentials.
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.


CONCLUSIONS
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.
Bradley
A P
AP
Cooperative 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.
Wilson
W J
WJ
D000328:Adult; D000465:Algorithms; D016057:Evoked Potentials, Auditory, Brain Stem; D005260:Female; D006801:Humans; D011930:Reaction Time; D012815:Signal Processing, Computer-Assisted