ECG Patient Identification (gallery-probe)
1 papers with code • 3 benchmarks • 3 datasets
Identification of patients split into gallery and probe sets. Each patient has exactly 2 recordings, where one is put into the gallery and one into the probe set. The task is to find the most similar gallery element for each probe element independently. This task relies on models capable of representing elements and calculating their similarities.
Benchmarks
These leaderboards are used to track progress in ECG Patient Identification (gallery-probe)
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PTB Diagnostic ECG Database
Most implemented papers
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks
captaintrojan/electrocardioguard
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Electrocardiograms (ECGs) are commonly used by cardiologists to detect heart-related pathological conditions.
