Text-to-ECG: 12-Lead Electrocardiogram Synthesis conditioned on Clinical Text Reports

Understand

Electrocardiogram (ECG) synthesis is the area of research focused on generating realistic synthetic ECG signals for medical use without concerns over annotation costs or clinical data privacy restrictions.

• Traditional ECG generation models consider a single ECG lead and utilize GAN-based generative models.
• These models can only generate single lead samples and require separate training for each diagnosis class.
• The diagnosis classes of ECGs are insufficient to capture the intricate differences between ECGs depending on various features (e.g.