Age and sex estimation using artificial intelligence from standard 12-lead ECGs
ZI Attia, PA Friedman, PA Noseworthy… - Circulation …, 2019 - Am Heart Assoc
Background: Sex and age have long been known to affect the ECG. Several biologic
variables and anatomic factors may contribute to sex and age-related differences on the
ECG. We hypothesized that a convolutional neural network (CNN) could be trained through
a process called deep learning to predict a person's age and self-reported sex using only 12-
lead ECG signals. We further hypothesized that discrepancies between CNN-predicted age
and chronological age may serve as a physiological measure of health. Methods: We …
variables and anatomic factors may contribute to sex and age-related differences on the
ECG. We hypothesized that a convolutional neural network (CNN) could be trained through
a process called deep learning to predict a person's age and self-reported sex using only 12-
lead ECG signals. We further hypothesized that discrepancies between CNN-predicted age
and chronological age may serve as a physiological measure of health. Methods: We …
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