Track 1: Computational Cardiac Mechanics and Electrophysiology

With the maturation of computational biology and novel diagnostic and therapeutic medical technologies, biophysically-based patient-specific modeling to guide and predict the response to therapy in many aspects of medicine is getting more attention. Patient-specific modeling is the development of computational models of human pathophysiology that are individualized to patient-specific data. Continuity has been developed for the past 25 years for modeling cardiac anatomy, electrophysiology and mechanics. More recently new capabilities for developing patient-specific models of the heart have been added. These techniques have the potential to inform diagnosis and patient care.

Goal: Expose participants to advanced tools of Continuity, a problem-solving environment for multi-scale modeling in bioengineering and physiology, designed towards obtaining patient-specific properties and design of patient-specific models.

Target Audience: Continuity users interested in developing patient-specific cardiac models (includes some prerequisites).


  • Additional enrollment info
  • Students are expected to bring their own laptops with the most recent version of Continuity and Blender v.2.49b installed. For the Blender installation, Windows and Linux users should install with Python 2.6, whereas Mac users should install with Python 2.5. Both versions are available from python releases
  • Please complete one set of tutorials to verify that your computer is capable of handling the software visualization needs.
  • While not required, knowledge of the scripting language Python would be beneficial.

Topics: Will depend on interest of the group

Format: This will be a very hands-on approach to learning advanced tools, with some presentation materials.

Course materials Location: PFBH, room 161
Time: 9:00 - 12:00, M-F July 30 - August 3  

Andrew McCulloch, Ph.D.
Roy Kerckhoffs, Ph.D.