Optimizing parameters of a computational heart model to help develop improved pacing protocols in ca

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Optimizing parameters of a computational heart
model to help develop improved pacing protocols
in cardiac resynchronization therapy

• Heather Griffith

Monash University in Melbourne, Australia July
20, 2007
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So basically

• The goal of this research project is to explore
  how changing existing default parameter on a
  model changes the model behavior. The model is
  used to test different types of CRT (Cardiac
  Resynchronization Therapy) in order to find
  treatments for people with heart failure.
  Changing parameters may help expand the ability
  of the model to test varying heart conditions
  with greater accuracy.

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Research Progress

• Ran several practice experiments on both Nimrod G
  and Nimrod O using more added resources
• Completed the 5 initial model runs on Continuity
• Found number of heart beats required to reach
  steady state for each model
• Copied Continuity onto the Mahar and Osaka
  clusters, was able to run a model on the Osaka
  resource

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Short Term Goals

• Set up Continuity on Gfarm so that clusters with
  Gfarm installed will be able to run Continuity
• Start running the new model, which will vary
  parameters, on Nimrod using at least one resource
• Continue to gain access to more PRAGMA resources
  and work out bugs for the resources that arent
  working on Nimrod
• Research more about the specific parameters being
  varied to understand their relation to heart
  function

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The Culture of Melbourne!
The Nobbies
Wine Tasting
An Australian Footy Game!
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There are now 5 PRIMERS Down Under!