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The IUP Journal of Electrical and Electronics Engineering:
ECG Signal Analysis for Biometric Characteristics
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The paper presents an analysis of Electrocardiogram (ECG) signal to use it as a biometric signal. ECG signals are generated by electrical activity in human heart. For any physiological trait to become a biometric parameter, there are some essential biometric characteristics that must be existing in that signal. These characteristics include universal, unique, easily measured and permanent. ECG signal can be used as a biometric trait because of subsistence of few characteristics in its signal. The issue which is still to be explored is its uniqueness and the same is tried through this work. Also, an effort has been made to find some statistical parameters that support the uniqueness property for ECG.

 
 

The use of the Electrocardiogram (ECG) signal as a biometric trait has been ascertained over the past decade (Carreiras et al., 2014). Due to some characteristics of ECG, it has become an interesting biometric trait. These properties are: it can be found in all humans so we can say that it is universal; it can be easily measured using some devices; it does not vanish with time so it is long-lasting, etc. We know that heart beat is the symbol of life and ECG is the measure of the electrical activities of the heart. It does not depend on the external body traits; it is an internal trait, therefore it is more secure than any other traits.

ECG signal is mainly used to find out the heart-related diseases, and in the past decade, there have been many research papers that demonstrate the use of ECG as a biometric trait (Kirti and Duhan, 2016). Now the biggest problem faced by ECG as a biometric trait is its permanence and uniqueness.

 
 
 

Electrical and Electronics Engineering Journal, Biometric characteristics, Biometric trait, Data acquisition, Electrocardiogram (ECG), Feature extraction