Comparison of Techniques for the Removal of Ocular Artefact from the Electroencephalogram: A Validation Study. Although employed extensively for both research and clinical purposes, the utility of the electroencephalograph (EEG) is hampered by the contaminating effects of eye movements on these 'brain waves'. If it can be validated, the recent Australian development of a solution to this problem will mean that the EEG can be measured more quickly and accurately. This purpose of this research is ....Comparison of Techniques for the Removal of Ocular Artefact from the Electroencephalogram: A Validation Study. Although employed extensively for both research and clinical purposes, the utility of the electroencephalograph (EEG) is hampered by the contaminating effects of eye movements on these 'brain waves'. If it can be validated, the recent Australian development of a solution to this problem will mean that the EEG can be measured more quickly and accurately. This purpose of this research is to perform this validation, and its success would mean both more efficient EEG recording for the country, as well as an enhanced scientific reputation.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775747
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites.
The leading-edge, grid-based, software and ....Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites.
The leading-edge, grid-based, software and computational techniques developed for the project will enable visualization, analysis and modelling of massive volumes of image and other visualisation data. This capability is important in medical research where large visualisation data volumes are being created and studied by experts remote from each other.
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