Although sudden cardiac arrest is rare in young athletes (such as Christian Erikson during the Eurocup football game in 2021) media attention makes it appear more prevalent. In general, patients with prior myocardial infarction are more at risk and more relevant to watch. So, prediction of the occurrence of ventricular (or other) arrhythmias in this group would be very useful.
Patients with a prior history of myocardial infarction live at home and only once in a while visit the clinic for a check-up. To continuously monitor the rhythm of the heart, photoplethysmography (PPG) signal from smart watches or other wearables could be used.
Can we create a digital twin model of the beating heart that takes into account knowledge about the electrophysiology of the heart and makes use of PPG based recordings of heart rate and derived parameters to predict short and long term risk of ventricular arrhythmias.