A Review on ECG based Human Authentication

Biometric systems are mostly used for human identification and authentication. Recent developments have shown that for person identification ECG can be used as more powerful tool as it give more reliable and accurate results even in abnormal cases than other biometric characteristics. Credential based authentication methods (e.g., passwords, PINs, certificates) are not well-suited for remote healthcare as patients could give credentials to someone else. Furthermore, one-time authentication using trait-based biometrics (e.g., face, fingerprints, and iris) or credentials do not cover the entire monitoring period and may lead to unauthorized post-authentication use. In this paper various techniques previously proposed in literature for feature extraction and a comparative study to predict the accuracy of overall system is being discussed. Keywords-ECG; Feature extracted; ECG fiducial method; ECG non-fiducial method; Classification; identification; LDA (linear discriminant analysis); PCA (principal component analysis); WT (wavelet transformation)