Heart electrophysiology simulation method based on GPU

Abstract

The invention discloses a heart electrophysiology simulation method based on a GPU. The method comprises the steps that the GPU acquires the cell data of a plurality of heart cells, and arranges all the cell data into a two-dimensional array, wherein the cell data of each heart cell is the same, and the number of the cell data in each row of the two-dimensional array is integral multiples of 32; and the GPU sets the same current stimulation value for the cell data in the same row, and then heart electrophysiological simulation calculation is performed on each heart cell through a preset adaptive time step method according to each piece of cell data and the current stimulation value by taking the row as a main sequence, wherein each piece of initial cell data is processed by the GPU throughone thread during analog computation. By implementing the embodiments of the invention, the problem that heart electrophysiology simulation acceleration effect is weakened when the adaptive time stepmethod is executed on the GPU can be solved, and the acceleration effect during heart electrophysiology simulation is further improved.

Description

technical field [0001] The invention relates to the field of cardiac electrophysiology, in particular to a GPU-based cardiac electrophysiological simulation method. Background technique [0002] In recent decades, more and more researchers have turned to cardiac electrophysiological modeling to obtain virtual hearts for research. Nowadays, there are two methods for modeling the heart: one is to model the heart as a whole, and treat the complete heart as a whole. The advantage of this modeling method is that it is simple and has a small amount of calculation, but it does not care about the accuracy of the simulation and only shows the approximate changes. The second is to start from the cells to establish a heart cell model, and then build a heart model from the cell model. This method can accurately reflect the changing state of the heart at each moment, and has extremely high precision, but the amount of calculation is huge and the simulation time is long. Due to the hig...

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Problems solved by technology

[0007] The embodiment of the present invention provides a GPU-based cardiac electrophysiological simulation method, which can solve the problem that the acceleration effect of cardiac electrophysiological simulation is weakened when the adaptive time step method is executed on the GPU, and further improve the acceleration effect of cardiac electrophysiological simulation.

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