Key result
ECG biometric algorithms degrade with different-session data, requiring multiple training sessions for reliable authentication.
Design
Review
Authors
Loading...
Session-dependent ECG biometric degradation cautions against single-enrollment use; leaves open optimal multi-session protocols for clinical deployment.
ECG biometric authentication algorithms experience performance degradation when training and testing data are from different sessions, requiring multiple training sessions to mitigate.
Kumar et al. (2017) reported a review. ECG biometric identification was evaluated on Authentication performance. ECG biometric identification algorithms perform well with same-session training data, but performance degrades with different-session data, necessitating multiple training sessions.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: