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.
Cardiac age detected by machine learning applied to the surface ECG of healthy subjects: Creation of a benchmark.
CHDR
van der Wall HEC, Hassing GJ, Doll RJ, van Westen GJP, Cohen AF, Selder JL, Kemme M, Burggraaf J, Gal P
