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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