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 |
Files in This Item:
File | Description | Size | Format | |
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An improvement in EEG forward model computational efficiency.pdf Restricted Access | 274.05 kB | Adobe PDF | View/Open Request a copy |
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