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Thesis

Computational methods for the estimation of cardiac electrophysiological conduction parameters in a patient specific setting

Abstract:

Cardiovascular disease is the primary cause of death globally. Although this group encompasses a heterogeneous range of conditions, many of these diseases are associated with abnormalities in the cardiac electrical propagation. In these conditions, structural abnormalities in the form of scars and fibrotic tissue are known to play an important role, leading to a high individual variability in the exact disease mechanisms. Because of this, clinical interventions such as ablation therapy and...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Computational Biology
Oxford college:
Wolfson College
Role:
Author

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Role:
Supervisor
Role:
Supervisor
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Funding agency for:
Wallman, K
Grant:
FP7-ICT-2007-224495
Publication date:
2013
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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