The electrocardiogram (ECG) is a type of biometric data that has recently attracted a lot of
attention as a potentially useful biometric trait due to its high discriminatory power. However …

Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

The electrocardiogram (ECG) is a widely used, noninvasive test for analyzing arrhythmia.
However, the ECG signal is prone to contamination by different kinds of noise. Such noise …

With the development of the Augmented and Virtual Reality (AR/VR) technologies, massive
biometric data are collected by different organizations. These data have great significance …

This article investigates biometric identification systems based on electrocardiogram (ECG)
signals and their intrasubject and intrasession validity. We develop an efficient algorithm …

The aim of this research survey is to review an enhanced model supported by artificial
intelligence to encode biometric data for transmission in wireless communication networks …

In recent years, one of the most active research areas has been examining and categorizing
heartbeats and brain traces connected with various types of arrhythmia and seizure. In this …

The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable
biometric authentication. Despite growing interest in ECG authentication, there are still two …

User authentication has become necessary in different life domains. Traditional
authentication methods like personal information numbers (PINs), password ID cards, and …

The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …