A constrained approach for extraction of pre-ictal discharges from scalp EEG

Shapoori, S, Wang, W and Sanei, S (2013) A constrained approach for extraction of pre-ictal discharges from scalp EEG In: International Workshop on Machine Learning for Signal Processing (MLSP), 2013-09-22 - 2013-09-25, Southampton.

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Abstract

A constrained blind source separation (BSS) approach for separation of intracranial spikes from scalp electroencephalogram (EEG) has been proposed in this paper. This method is based on creating a template from intracranial data, which is then used in the form of a constraint in a BSS algorithm. To generate a suitable template, the segments during which the brain discharges are labelled are used to generate the necessary templates. Approximate entropy followed by peak detection and thresholding is used for this purpose. Constrained BSS is then applied to scalp data to extract the desired source and to evaluate its effect on scalp electrodes. The effectiveness of such a constrained approach has been demonstrated by comparing its outcome with that of the unconstrained method. © 2013 IEEE.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Shapoori, S, Wang, W and Sanei, S
Date :	2013
DOI :	10.1109/MLSP.2013.6661929
Depositing User :	Symplectic Elements
Date Deposited :	28 Mar 2017 13:11
Last Modified :	23 Jan 2020 13:06
URI:	http://epubs.surrey.ac.uk/id/eprint/806075

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