Supervisor: Ezio Bartocci
Medical Cyber-Physical-Systems Modeling and Efficient Simulation of Cardiac Dynamics
A human heart is a highly complex connected network of biological cells, where each cell is controlled by bio-chemical reaction within the neighborhood. Once stimulated, the impulse is propagated and each cell contracting.
These wave-like chain reaction of stimulation and contraction is the base principle of a human heartbeat. Unfortunately, this biological chain reaction is not flawless, which may results in cardiac arrhythmia. There are many underlying conditions for this life threatening condition. The simulation of cardiac cells not only enables to research these conditions, but also allows to develop save technology as implantable treatment.
However, to achieve more accurate results the simulation needs to be as life-like as possible. Even so technology seems promising, real-time simulation of multiple cells is challenging.
Next to new modeling approaches, modern technologies like GPU and FPGA are used to accelerate the computation. In my work, we will present new modeling approaches and techniques to improve the simulation of cardiac electrophysiology. Further we will use FPGA for acceleration and set them in comparison to given State of the Art solutions.