Cardiac age detected by machine learning applied to the surface ECG of healthy subjects: Creation of a benchmark.

van der Wall HEC, Hassing GJ, Doll RJ, van Westen GJP, Cohen AF, Selder JL, Kemme M, Burggraaf J, Gal P

The aim of the present study was to develop a neural network to characterize the effect of aging on the ECG in healthy volunteers. Moreover, the impact of the various ECG features on aging was evaluated.