Key result
ECG-based biometric techniques achieve a ~95% identification rate in authentication scenarios.
Population
100 studies on ECG-based human identification involving male and female subjects aged 16 to 86, with sample…
Design
Systematic_review
Authors
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Supports ECG biometrics for authentication in cardiology; extends evidence but leaves open standardization for single-lead and pathological ECGs.
ECG-based biometric recognition demonstrates high accuracy with a weighted average identification rate of 94.95%, though standardization and further research in single-lead and pathological ECGs are needed.
Fratini et al. (2015) conducted a review in Individual identification via electrocardiogram analysis. ECG-based biometric recognition was evaluated on Weighted average identification rate. A weighted average of journal studies demonstrated an overall ECG-based identification rate of 94.95% and an equal error rate of 0.92% in authentication scenarios.
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