Key result
The ECOIL algorithm achieved biometric authentication accuracies of 100% for healthy participants and 90.11% for cardiovascular disease patients, with an overall combined accuracy of 94.27%.
Why the study?
Does a novel normalization and interpolation algorithm provide accurate ECG-based biometric authentication in both healthy persons and CVD patients?
Population
Healthy participants and cardiovascular disease (CVD) patients
Design
Other
Authors
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May support ECG biometrics in CVD; leaves open prospective validation before clinical adoption.
Does a novel normalization and interpolation algorithm provide accurate ECG-based biometric authentication in both healthy persons and CVD patients?
A novel ECG normalization and interpolation algorithm achieves high biometric authentication accuracy in both healthy individuals and patients with cardiovascular disease.
Yang et al. (2013) studied Healthy and Cardiovascular Disease (n=157). ECG Cycle Normalization and Interpolation Algorithm (ECOIL) was evaluated on Biometric authentication accuracy. The ECOIL algorithm achieved biometric authentication accuracies of 100% for healthy participants and 90.11% for cardiovascular disease patients, with an overall combined accuracy of 94.27%.
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