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. "
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