Why the study?
Biometric security is advancing, and electrocardiogram signal analysis provides a biometric trait based on physiological and geometrical uniqueness for human identification.
ECG signals can be effectively used as a biometric trait for human identification using Discrete Wavelet Transform and integrated neural network classifiers.
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Non-fiducial ECG biometric system extends identification research; leaves open validation before any clinical or security adoption.
Ibrahim et al. (2021) studied this question.
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