Papers › ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram...
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks
Michal Seják, Jakub Sido, David Žahour
Electrocardiograms (ECGs) are commonly used by cardiologists to detect heart-related pathological conditions. Reliable collections of ECGs are crucial for precise diagnosis. However, in clinical practice, the assignment of captured ECG recordings to incorrect patients can occur inadvertently. In collaboration with a clinical and research facility which recognized this challenge and reached out to us, we present a study that addresses this issue. In this work, we propose a small and efficient neural-network based model for determining whether two ECGs originate from the same patient. Our model demonstrates great generalization capabilities and achieves state-of-the-art performance in gallery-probe patient identification on PTB-XL while utilizing 760x fewer parameters. Furthermore, we present a technique leveraging our model for detection of recording-assignment mistakes, showcasing its applicability in a realistic scenario. Finally, we evaluate our model on a newly collected ECG dataset specifically curated for this study, and make it public for the research community.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| ECG Patient Identification (gallery-probe) | CODE-15% | ElectroCardioGuard | Accuracy | 60.3% | #1 of 1 | Archive leaderboard | report |
| ECG Patient Identification (gallery-probe) | PTB Diagnostic ECG Database | ElectroCardioGuard | Accuracy | 77.0% | #1 of 1 | Archive leaderboard | report |
| ECG Patient Identification (gallery-probe) | PTB-XL | ElectroCardioGuard | Accuracy | 58.3% | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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