Leveraging the wearable 1-lead ECG signal: From cardiac rhythm to cardiac function assessment
This study demonstrates that explainable deep learning models can accurately predict left ventricular function from wearable 1-lead ECGs with performance nearly matching 12-lead ECGs, thereby enabling broader clinical applications and enhanced patient autonomy in remote or resource-limited settings.