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Title: Geometrical techniques in biomedical modelling
Author: Oshmyansky, Alexander
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2013
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In this thesis, a cellular automaton model of wave motion is developed with the goal of creating a model of seizure progression. We create a cellular automaton model of seizure progression based upon the model of wave motion. This is compared to existing models from the literature of both seizure progression and neuronal dynamics: good correspondence is found. The model is then used to assist in determining the location of epileptic foci from which seizures originate based on data obtained from intra-operative optical coherence tomography data. A tool based on the cellular automaton model is created, which predicts the location of an epileptic focus based on optical coherence tomography data obtained during surgery. Together, these results suggest that the incorporation of geometrical techniques into mathematical models of seizure activity can provide new insights into underlying pathophysiology.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available