Northampton Electronic Collection of Theses and Research

Extraction of short-latency evoked potentials using a combination of wavelets and evolutionary algorithms

Turner, S. J., Picton, P. and Campbell, J. (2003) Extraction of short-latency evoked potentials using a combination of wavelets and evolutionary algorithms. Medical Engineering & Physics. 25(5), pp. 407-412. 1350-4533.

Item Type: Article
Abstract: Somatosensory evoked potentials, recorded at the spine or scalp of a patient, are contaminated by noise. It is common practice to use ensemble averaging to remove the noise, which usually requires a large number of responses to produce one averaged signal. In this paper a post-processing technique is shown which uses a combination of wavelets and evolutionary algorithms to produce a representative waveform with fewer responses. The most suitable wavelets and a set of weights are selected by an evolutionary algorithm to form a filter bank, which enhances the extraction of evoked potentials from noisy recordings.
Uncontrolled Keywords: Wavelets, evolutionary algorithms, evoked potentials
Subjects: R Medicine > R Medicine (General) > R856 Biomedical engineering. Electronics. Instrumentation.
Creators: Turner, Scott J, Picton, Philip and Campbell, Jackie
Publisher: Elsevier
Faculties, Divisions and Institutes: University Faculties, Divisions and Research Centres - OLD > School of Applied Sciences (to 2009)
University Faculties, Divisions and Research Centres - OLD > Faculty of Health & Society
Date: June 2003
Date Type: Publication
Page Range: pp. 407-412
Journal or Publication Title: Medical Engineering & Physics
Volume: 25
Number: 5
Language: English
DOI: https://doi.org/10.1016/S1350-4533(03)00021-3
ISSN: 1350-4533
Status: Published / Disseminated
URI: http://nectar.northampton.ac.uk/id/eprint/5887

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