Cardiovascular Authentication: Fusion of Electrocardiogram and Ejection Fraction

The most advanced scientific development of biometrics will be to uniquely identify an individual based on their clinically used cardiac physiological and anatomical attributes. Research studies have demonstrated in particular the potential of cardiovascular activity as a biometric marker. Electrocardiogram (ECG) signals and left ventricular Ejection Fraction (EF) measured via echocardiography are relatively unique to an individual. But, the viability of left ventricular ejection fraction hasn’t yet been demonstrated as a biometric marker. This paper proposed a novel method to authenticate a human identity based on the analysis of data received from these two modalities of cardiovascular activities. In this method, the fusion of ECG and EF as a biomedical marker has been used to authenticate an individual. The performance of this method has been tested based on the Equal Error Rate (EER). Experimentation demonstrated the superiority of this fusion method in comparison to the monomodal EGC system.