Removing Ballistocardiogram Artifact from EEG using Short-and-Long-Term Linear Predictor.

Ferdowsi, S, Sanei, S, Abolghasemi, V, Nottage, J and O'Daly, O (2013) Removing Ballistocardiogram Artifact from EEG using Short-and-Long-Term Linear Predictor. IEEE Trans Biomed Eng.

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Abstract

In this paper a novel source extraction method is proposed for removing Ballistocardiogram (BCG) artifact from EEG. BCG appears in EEG signals recorded simultaneously with fMRI. The proposed method is a semiblind source extraction algorithm based on linear prediction technique. We define a cost function according to a joint short-and-long-term prediction strategy to extract the BCG sources. We call this method SLTPBSE standing for short-and-long-term prediction blind source extraction. The objective of this work is to i) model the temporal structure of the sources using short-term prediction and ii) impose the prior information about the BCG sources using long-term prediction. These two procedures are simultaneously implemented to optimize the system. The performance of the proposed method is evaluated using both synthetic and real EEG data. The obtained results show that the proposed technique is able to remove the BCG artifact while preserving the task-related parts of the signal. The results of SLTP-BSE are compared with those of well known BCG removal techniques confirming the superiority of the proposed method.

Item Type:	Article
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Ferdowsi, S Sanei, S s.sanei@surrey.ac.uk Abolghasemi, V Nottage, J O'Daly, O
Date :	1 February 2013
DOI :	10.1109/TBME.2013.2244888
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:41
Last Modified :	24 Jan 2020 22:41
URI:	http://epubs.surrey.ac.uk/id/eprint/836352

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