An ECG authentication method that pre-trains on signal-text pairs and uses center, prototype, and repulsion losses to reject unregistered identities in open-set tests.
Arrhythmia classification using cgan-augmented ecg signals, in: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE
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ECG Identity Authentication in Open-set with Multi-model Pretraining and Self-constraint Center & Irrelevant Sample Repulsion Learning
An ECG authentication method that pre-trains on signal-text pairs and uses center, prototype, and repulsion losses to reject unregistered identities in open-set tests.