Welcome to the

COMBAT-VT Project

COMputational-model-BAsed decision supporT for patients at risk for sustained Ventricular Tachycardias

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Our mission

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 will develop a computational model that makes use of the patient’s data to predict the risk of VTs and supports decision of the best treatment