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.

Most implemented papers

ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks

captaintrojan/electrocardioguard 9 Jun 2023

Electrocardiograms (ECGs) are commonly used by cardiologists to detect heart-related pathological conditions.