MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring

Understand

The widespread emergence of smart devices for ECG has sparked demand for intelligent single-lead ECG-based diagnostic systems.

• However, it is challenging to develop a single-lead-based ECG interpretation model for multiple diseases diagnosis due to the lack of some key disease information.
• In this work, we propose inter-lead Multi-View Knowledge Transferring of ECG (MVKT-ECG) to boost single-lead ECG's ability for multi-label disease diagnosis.
• This training strategy can transfer superior disease knowledge from multiple different views of ECG (e.g.