Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93102
Title: An improvement in EEG forward model computational efficiency
Authors: Muscat, Joseph
Grech, Roberta
Camilleri, Kenneth P.
Fabri, Simon G.
James, Christopher J.
Keywords: Electroencephalography
Magnetic dipoles
Electroencephalography -- Data processing
Brain-computer interfaces
Issue Date: 2004
Publisher: MEDSIP
Citation: Muscat, 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.
Abstract: Improvements 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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/93102
Appears in Collections:Scholarly Works - FacEngSCE

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