Deep-ECG: Convolutional neural networks for ECG biometric recognition
Electrocardiographic (ECG) signals have been successfully used to perform biometric
recognition in a wide range of applications. However, ECG-based biometric systems are …
recognition in a wide range of applications. However, ECG-based biometric systems are …
Toward improving ECG biometric identification using cascaded convolutional neural networks
Biometric identification via Electrocardiogram (ECG) signals, which can be captured by
devices with ECG sensors, have been explored for human identification for decades …
devices with ECG sensors, have been explored for human identification for decades …
Ecg biometric recognition: Review, system proposal, and benchmark evaluation
ECGs have shown unique patterns to distinguish between different subjects and present
important advantages compared to other biometric traits. However, the lack of public data …
important advantages compared to other biometric traits. However, the lack of public data …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
PlexNet: A fast and robust ECG biometric system for human recognition
Researchers have explored the potential of electrocardiogram (ECG) to use as biometrics
from past two decades. ECG has the inherent feature of vitality for securing the biometric …
from past two decades. ECG has the inherent feature of vitality for securing the biometric …
A deep learning technique for biometric authentication using ECG beat template matching
An electrocardiogram (ECG) is a unique representation of a person's identity, similar to
fingerprints, and its rhythm and shape are completely different from person to person …
fingerprints, and its rhythm and shape are completely different from person to person …
Fast and accurate algorithm for ECG authentication using residual depthwise separable convolutional neural networks
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 …
biometric authentication. Despite growing interest in ECG authentication, there are still two …
Ecg biometric authentication: A comparative analysis
Robust authentication and identification methods become an indispensable urgent task to
protect the integrity of the devices and the sensitive data. Passwords have provided access …
protect the integrity of the devices and the sensitive data. Passwords have provided access …
Using convolutional neural network and a single heartbeat for ECG biometric recognition
DA AlDuwaile, MS Islam - Entropy, 2021 - mdpi.com
The electrocardiogram (ECG) signal has become a popular biometric modality due to
characteristics that make it suitable for developing reliable authentication systems. However …
characteristics that make it suitable for developing reliable authentication systems. However …
BAED: A secured biometric authentication system using ECG signal based on deep learning techniques
Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …
information protection and control regulation requirements have grown worldwide. A …