2013
DOI: 10.1080/10255842.2013.795556
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Towards real-time simulation of cardiac electrophysiology in a human heart at high resolution

Abstract: We have developed the capability to rapidly simulate cardiac electrophysiological phenomena in a human heart discretised at a resolution comparable with the length of a cardiac myocyte. Previous scientific investigation has generally invoked simplified geometries or coarse-resolution hearts, with simulation duration limited to 10s of heartbeats. Using state-of-the-art high-performance computing techniques coupled with one of the most powerful computers available (the 20 PFlop/s IBM BlueGene/Q at Lawrence Liver… Show more

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Cited by 40 publications
(36 citation statements)
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“…In relation to the EAD dynamics, a heterogeneous human heart model was studied in Richards et al (2013), where the islands of M-cells were added based on sizes of Glukhov et al (2010). The authors modeled conditions of the LQT3 syndrome by enhancing the late Na + current.…”
Section: Spatial Patterns Due To Eads In 1d 2d and 3dmentioning
confidence: 99%
See 1 more Smart Citation
“…In relation to the EAD dynamics, a heterogeneous human heart model was studied in Richards et al (2013), where the islands of M-cells were added based on sizes of Glukhov et al (2010). The authors modeled conditions of the LQT3 syndrome by enhancing the late Na + current.…”
Section: Spatial Patterns Due To Eads In 1d 2d and 3dmentioning
confidence: 99%
“…(B) The corresponding ECG traces are shown for the Lead 1, with the time points marked that correspond to the image times in (A) . Figure reproduced from Richards et al (2013) with permission.…”
Section: Spatial Patterns Due To Eads In 1d 2d and 3dmentioning
confidence: 99%
“…Several groups around the world [142,212,243,260] are using massively parallel computing and especially graphics processing units to speed up the computations in realistic heart geometries using highly-detailed physiological electrophysiology models, with the ultimate goal of providing near realtime simulations. Alternatively, other efforts point to reducing the complexity of the underlying cellular models [126].…”
Section: Discussionmentioning
confidence: 99%
“…Mirin et al simulated thousands of heartbeats at a resolution of 0.1 mm using more than one million cores [8]. They were also able to simulate human heart function over 1200 times faster compared with any published results in the field [9]. Unlike prior work that focused on either using one programming language for parallelization on GPUs or multiple programming models targeting CPUs [7]–[12], we studied multiple parallelization approaches for running 2D cardiac wave propagation simulations.…”
Section: Introductionmentioning
confidence: 99%