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A Population Search Algorithm for Clustered Multivariate Solutions: Application to EEG Connectivity

Daly, Ian and Scherer, Reinhold and Müller-Putz, Gernot (2013) A Population Search Algorithm for Clustered Multivariate Solutions: Application to EEG Connectivity. In: IASTED International Conference on Biomedical Engineering, BioMed 2013, 2013-02-13 - 2013-02-15, Innsbruck, Austria.

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Abstract

There is a need to efficiently identify time, frequency and spatial locations between which connectivity occurs within the brain. Therefore, a novel, population based, search algorithm is proposed based upon the behaviour of foraging animals. The method is evaluated on a simple grid search problem and on the identification of time-frequency locations of statistically significant phase synchronisation in both synthetic and real EEG. The method is shown to be comparable to a state-of-the-art phase synchronisation identification algorithm in terms of speed while identifying a large proportion of available solutions.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 27 May 2021 14:04
Last Modified: 27 May 2021 14:15
URI: http://repository.essex.ac.uk/id/eprint/25468

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