UniECG: Understanding and Generating ECG in One Unified Model

Understand

Electrocardiogram (ECG) interpretation is a fundamental skill in medical education, yet students often need more than static examples to connect waveform evidence with diagnostic reasoning.

• This paper presents UniECG as a step toward interactive ECG education.
• UniECG supports two complementary learning interactions: given an ECG signal or image, it generates an evidence-based explanation; given a textual learning objective, it generates a corresponding ECG signal example for case-based learning.
• The model follows a two-stage design.