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Modelling the Short QT Syndrome Gene Mutations
And Their Role in Cardiac Arrhythmogenesis

Inglese · Copertina rigida

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

The Short QT Syndrome (SQTS) is characterized by abbreviated QT intervals on the electrocardiogram, increased risk of cardiac arrhythmias and sudden death. Although several gene mutations have been identified in SQT patients, the role of these mutations in promoting arrhythmogenesis is still not completely understood. Consequently, this thesis employs multidisciplinary approaches to develop a 3D virtual heart, which is then used to elucidate how the short QT syndrome facilitates and maintains ventricular arrhythmias and to determine its effects on ventricular mechanical contraction. The findings in this thesis provide a comprehensive and mechanistic explanation for a number of gene mutations associated with potassium channels in terms of susceptibility to arrhythmia. The multiphysics models developed provide a powerful platform for identifying the root causes of various arrhythmias and investigating therapeutic interventions for these diseases.
The thesis was examined by Prof. Chris Huang of the University of Cambridge, the most authoritative figure in cardiac electrophysiology, who has described the work as "outstanding."

Riassunto

The Short QT Syndrome (SQTS) is characterized by abbreviated QT intervals on the electrocardiogram, increased risk of cardiac arrhythmias and sudden death. Although several gene mutations have been identified in SQT patients, the role of these mutations in promoting arrhythmogenesis is still not completely understood. Consequently, this thesis employs multidisciplinary approaches to develop a 3D virtual heart, which is then used to elucidate how the short QT syndrome facilitates and maintains ventricular arrhythmias and to determine its effects on ventricular mechanical contraction. The findings in this thesis provide a comprehensive and mechanistic explanation for a number of gene mutations associated with potassium channels in terms of susceptibility to arrhythmia. The multiphysics models developed provide a powerful platform for identifying the root causes of various arrhythmias and investigating therapeutic interventions for these diseases.
The thesis was examined by Prof. Chris Huang of the University of Cambridge, the most authoritative figure in cardiac electrophysiology, who has described the work as “outstanding.”

Dettagli sul prodotto

Autori Ismail Adeniran
Editore Springer, Berlin
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 31.12.2014
Categoria Scienze naturali, medicina, informatica, tecnica > Biologia > Altro
 
EAN 9783319071992
ISBN 978-3-31-907199-2
Numero di pagine 217
Illustrazioni XVII, 217 p. 102 illus., 38 illus. in color.
Dimensioni (della confezione) 16.5 x 24 x 1.8 cm
Peso (della confezione) 467 g
 
Serie Springer Theses
Springer Theses
Categorie B, Cardiology, Physics, Complex systems, Theoretical, Mathematical and Computational Physics, Cellular biology (cytology), Physics and Astronomy, Mathematical physics, Systems Biology, Dynamical systems, Numerical and Computational Physics, Simulation, Biological systems, Membrane Biology, Cell Membranes, Membrane Trafficking, Cardiovascular medicine, Computational and Systems Biology, Dynamics & statics, Statistical physics, Statistical Physics and Dynamical Systems
 

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