Welcome to the
COMputational-model-BAsed decision supporT for patients at risk for sustained Ventricular Tachycardias
Predict the risk of ventricular tachycardias
Myocardial Infarction, although treated successfully, may leave patients at higher risk of life threatening ventricular tachycardias (VTs). VTs are heart rhythm disorders leading to an abnormal in-crease in heart rate, even during rest. Successful treatment or prevention of VTs by implantable defibrillators (ICD) and catheter ablation is hampered by the complexity and patient-specificity of the disorder. In a collaboration between de TU/e, Philips Research, and the Catharina Hospital, we aim to improve the understanding and prediction of the occurrence of VTs and provide optimized patient-specific therapy guidance using computationally efficient models.