Deep neural network for identification of impaired microvascular and vasomotor function from stress electrocardiography.
Jonathan B MoodyAlexis Poitrasson-RivièreJennifer M RenaudTomoe HagioFares AlahdabMouaz H Al-MallahMichael D VanderverEdward P FicaroVenkatesh L MurthyPublished in: medRxiv : the preprint server for health sciences (2023)
Signals predictive of microvascular and vasomotor dysfunction are embedded in stress ECG waveforms. These signals can be identified by deep learning methods and are related to prognosis in patients undergoing both stress PET and SPECT MPI.