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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93102
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dc.contributor.authorMuscat, Joseph-
dc.contributor.authorGrech, Roberta-
dc.contributor.authorCamilleri, Kenneth P.-
dc.contributor.authorFabri, Simon G.-
dc.contributor.authorJames, Christopher J.-
dc.date.accessioned2022-04-06T10:14:13Z-
dc.date.available2022-04-06T10:14:13Z-
dc.date.issued2004-
dc.identifier.citationMuscat, J., Grech, R., Camilleri, K. P., Fabri, S. G., & James, C. J. (2004). An improvement in EEG forward model computational efficiency. 2nd International Conference on Advances in Medical Signal and Information Processing, Malta. 99-103.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/93102-
dc.description.abstractImprovements in computational efficiency are bringing the realization of real-time imaging of the dynamic behavior of neural activity in the human brain a step forward. Estimating the location, distribution and time-variation of the current sources that produce an observed electroencephalogram (EEG) has been shown to be significantly improved by using a realistic head model. The calculations involved are however several orders of magnitude larger than the simpler spherical head models. We describe a computational time improvement in calculating the forward gain matrix required for the associated inverse problem, based on solving the forward problem for monopoles rather than dipoles.en_GB
dc.language.isoenen_GB
dc.publisherMEDSIPen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectElectroencephalographyen_GB
dc.subjectMagnetic dipolesen_GB
dc.subjectElectroencephalography -- Data processingen_GB
dc.subjectBrain-computer interfacesen_GB
dc.titleAn improvement in EEG forward model computational efficiencyen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename2nd International Conference on Advances in Medical Signal and Information Processingen_GB
dc.bibliographicCitation.conferenceplaceSliema, Malta, 25/01/2004en_GB
dc.description.reviewedpeer-revieweden_GB
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