Deep learned representations of the resting 12-lead electrocardiogram to predict V̇O2 at peak exercise.

Shaan Khurshid Timothy W ChurchhillNathaniel DiamantPaolo Di AchilleChristopher ReederPulkit SinghSamuel F FriedmanMeagan M WasfyGeorge A AlbaBradley A MaronDavid M SystromBradley M WertheimPatrick T EllinorJennifer E HoAaron L BaggishPuneet BatraSteven A LubitzJ Sawalla Guseh

Published in: European journal of preventive cardiology (2023)

Deep learning-enabled analysis of the resting 12-lead ECG can estimate exercise capacity (V̇O2 PEAK) at scale to enable efficient cardiovascular risk stratification.

Keyphrases

heart rate
heart rate variability
deep learning
high intensity
physical activity
resistance training
blood pressure
working memory
machine learning
convolutional neural network