Computer Modelling for Better Diagnosis and Therapy of Patients by Cardiac Resynchronisation Therapy
| Autor: | Angelo Auricchio, Joost Lumens, Tammo Delhaas, MH Marieke Pluijmert, Frits W. Prinzen, Mark Potse |
|---|---|
| Přispěvatelé: | Promovendi CD, Biomedische Technologie, Fysiologie, RS: CARIM - R2 - Cardiac function and failure |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
finite element model
business.industry Mechanical models Disease mechanisms Mechanical Processes heart failure bidomain model Field (computer science) monodomain model Human–computer interaction Physiology (medical) Medicine Device Therapy Computer modelling computer model Cardiology and Cardiovascular Medicine business Simulation cardiac resynchronisation therapy |
| Zdroj: | Arrhythmia & Electrophysiology Review, 4(1), 62-67. Radcliffe Cardiology |
| ISSN: | 2050-3369 |
| Popis: | Mathematical or computer models have become increasingly popular in biomedical science. Although they are a simplification of reality, computer models are able to link a multitude of processes to each other. In the fields of cardiac physiology and cardiology, models can be used to describe the combined activity of all ion channels (electrical models) or contraction-related processes (mechanical models) in potentially millions of cardiac cells. Electromechanical models go one step further by coupling electrical and mechanical processes and incorporating mechano-electrical feedback. The field of cardiac computer modelling is making rapid progress due to advances in research and the ever-increasing calculation power of computers. Computer models have helped to provide better understanding of disease mechanisms and treatment. The ultimate goal will be to create patient-specific models using diagnostic measurements from the individual patient. This paper gives a brief overview of computer models in the field of cardiology and mentions some scientific achievements and clinical applications, especially in relation to cardiac resynchronisation therapy (CRT). |
| Databáze: | OpenAIRE |
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