A massively parallel computational electrophysiology model of the heart

This paper presents a patient‐sensitive simulation strategy capable of using the most efficient way the high‐performance computational resources. The proposed strategy directly involves three different players: Computational Mechanics Scientists (CMS), Image Processing Scientists and Cardiologists,...

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Bibliographic Details
Published in:	International journal for numerical methods in biomedical engineering Vol. 27; no. 12; pp. 1911 - 1929
Main Authors:	Vázquez, M., Arís, R., Houzeaux, G., Aubry, R., Villar, P., Garcia-Barnés, J., Gil, D., Carreras, F.
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 01.12.2011 Wiley
Subjects:	Applied sciences Artificial intelligence Biological and medical sciences Computation computational electrophysiology Computer science; control theory; systems Computer simulation Computer systems and distributed systems. User interface Electrophysiology Exact sciences and technology finite element methods Focusing Fundamental and applied biological sciences. Psychology Heart Mathematical analysis Mathematical models parallelization Pattern recognition. Digital image processing. Computational geometry Scientists Simulation Software Strategy Vertebrates: cardiovascular system Human High performance Transient response Parallel algorithm Scalability Computer simulation Image processing computational electrophysiology Electrophysiology Distributed computing Modeling Finite element method finite element methods Massive parallelism Cardiology Parallelization Numerical algorithm
ISSN:	2040-7939, 2040-7947, 2040-7947
Online Access:	Get full text
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