Abstract
Evoked Potentials are electrical Signals produced by the body in response to a Stimulus. In general these Signals are noisy with a low Signal to noise ratio. In this Paper a method is proposed that uses sets of filters, whose tut-off frequencies are selected by an evolutionary algorithm. An evolutionary algorithm was investigated to limit the assumptions that were made about the Signals. The set of filters separately filter the evoked Potentials, and are combined as a weighted sum of the filter Outputs. The evolutionary algorithm also selects the weights. Inputs to the filters are sets of averaged Signal, 4 or 10 Signals per average. Even though there is likely to be variations between the Signals, this process tan improve the extraction of Potentials.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Harrison, S.A.B., Lovely, D.F.: Identification of noise sources in surface recording of spinal somatosensory evoked potentials. Medical & Biological Engineering & Computing, 299–305 (1995)
McCabee, P.J., Pinkhasov, E.I., Cracco, R.Q.: Short latency somatosensory evoked potentials to median nerve stimulation effect of low frequency filter. Electroencephalography and Clinical Neurophysiology 55, 34–44 (1983)
Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, 3rd edn. Springer, Heidelberg (1996)
Rossini, P.M., Cracco, R.Q., Cracco, J.B., House, W.J.: Short latency somatosensory evoked potentials nerve stimulation: salp topography and the effect of different frequency filters. Electroencephalography and Clinical Neurophysiology (1981)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Turner, S.J., Picton, P.D., Campbell, J.A. (1999). Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms. In: Poli, R., Voigt, HM., Cagnoni, S., Corne, D., Smith, G.D., Fogarty, T.C. (eds) Evolutionary Image Analysis, Signal Processing and Telecommunications. EvoWorkshops 1999. Lecture Notes in Computer Science, vol 1596. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704703_8
Download citation
DOI: https://doi.org/10.1007/10704703_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65837-5
Online ISBN: 978-3-540-48917-7
eBook Packages: Springer Book Archive