Literature DB >> 15066537

On wavelet analysis of auditory evoked potentials.

A P Bradley1, W J Wilson.   

Abstract

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.

Entities:  

Mesh:

Year:  2004        PMID: 15066537     DOI: 10.1016/j.clinph.2003.11.016

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  7 in total

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6.  Assessment of inter-examiner agreement and variability in the manual classification of auditory brainstem response.

Authors:  Kheline F P Naves; Adriano A Pereira; Slawomir J Nasuto; Ieda P C Russo; Adriano O Andrade
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Authors:  Bahram Perseh; Ahmad R Sharafat
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  7 in total

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