Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms

Scott Turner; Philip Picton; Jacqueline Ann Campbell

doi:10.1007/10704703_8

Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms

Scott Turner^*, Philip Picton, Jacqueline Ann Campbell

^*Corresponding author for this work

Research output: Contribution to Book/Report › Conference Contribution

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.

Original language	English
Title of host publication	Evolutionary Image Analysis, Signal Processing and Telecommunications
Editors	R Poli, H-M Voigt, S Canoni, D Corne, GD Smith, TC Fogarty
Publisher	Springer
Pages	101-109
Number of pages	9
DOIs	https://doi.org/10.1007/10704703_8
Publication status	Published - 1999

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https://link.springer.com/chapter/10.1007/10704703_8

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@inproceedings{ebf075fd73ad4e5380e39cfb92d93269,

title = "Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms",

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.",

author = "Scott Turner and Philip Picton and Campbell, {Jacqueline Ann}",

year = "1999",

doi = "10.1007/10704703_8",

language = "English",

publisher = "Springer",

pages = "101--109",

editor = "R Poli and H-M Voigt and S Canoni and D Corne and GD Smith and TC Fogarty",

booktitle = "Evolutionary Image Analysis, Signal Processing and Telecommunications",

}

Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms. / Turner, Scott; Picton, Philip; Campbell, Jacqueline Ann.
Evolutionary Image Analysis, Signal Processing and Telecommunications. ed. / R Poli; H-M Voigt; S Canoni; D Corne; GD Smith; TC Fogarty. Springer, 1999. p. 101-109.

Research output: Contribution to Book/Report › Conference Contribution

TY - GEN

T1 - Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms

AU - Turner, Scott

AU - Picton, Philip

AU - Campbell, Jacqueline Ann

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

U2 - 10.1007/10704703_8

DO - 10.1007/10704703_8

M3 - Conference Contribution

SP - 101

EP - 109

BT - Evolutionary Image Analysis, Signal Processing and Telecommunications

A2 - Poli, R

A2 - Voigt, H-M

A2 - Canoni, S

A2 - Corne, D

A2 - Smith, GD

A2 - Fogarty, TC

PB - Springer

ER -

Selecting Potentials Filter Banks to Enhance Evoked Recordings Using Evolutionary Algorithms

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