Applications of GRID in clinical neurophysiology and electrical impedance tomography of brain function.
Fritschy, J. and Horesh, Lior and Holder, David S. and Bayford, Richard (2005) Applications of GRID in clinical neurophysiology and electrical impedance tomography of brain function. Studies in health technology and informatics., 112 . pp. 138-145. ISSN 0926-9630
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The computational requirements in Neurophysiology are increasing with the development of new analysis methods. The resources the GRID has to offer are ideally suited for this complex processing. A practical implementation of the GRID, Condor, has been assessed using a local cluster of 920 PCs. The reduction in processing time was assessed in spike recognition of the Electroencephalogram (EEG) in epilepsy using wavelets and the computationally demanding task of non‐linear image reconstruction with Electrical Impedance Tomography (EIT). Processing times were decreased by 25 and 40 times respectively. This represents a substantial improvement in processing time, but is still sub optimal due to factors such as shared access to resources and lack of checkpoints so that interrupted jobs had to be restarted. Future work will be to use these methods in non‐linear EIT image reconstruction of brain function and methods for automated EEG analysis, if possible with further optimized GRID middleware.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences|
Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
|Citations on ISI Web of Science:||3|
|Deposited On:||21 May 2009 16:44|
|Last Modified:||08 Oct 2014 10:52|
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