Novel electrocardiographic risk predictors of sudden cardiac death

Among studies addressing ECG-based risk stratification for sudden cardiac death and life-threatening ventricular arrhythmias, novel approaches to ECG data analysis and derived markers of myocardial electrical instability are of particular interest. Notably, metrics obtained through vector-based, frequency-domain, and nonlinear ECG analysis have demonstrated significant value as predictors of high-risk ventricular arrhythmias and sudden cardiac death.