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 …
Electrocardiogram Comparison as a Biometric Identifier: A Review
A Kadi, A Oubelaid, SK Towfek - Full Length Article, 2023 - americaspg.com
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 …
attention as a potentially useful biometric trait due to its high discriminatory power. However …
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 …
ECG-based biometric authentication using empirical mode decomposition and support vector machines
Electrocardiogram (ECG) is an electric signal of cardiac activity posing highly discriminative
properties related to human recognition. ECG based authentication has gained much …
properties related to human recognition. ECG based authentication has gained much …
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 …
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 …
Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
A machine learning framework for biometric authentication using electrocardiogram
This paper introduces a framework for how to appropriately adopt and adjust machine
learning (ML) techniques used to construct electrocardiogram (ECG)-based biometric …
learning (ML) techniques used to construct electrocardiogram (ECG)-based biometric …
An enhanced electrocardiogram biometric authentication system using machine learning
Traditional authentication systems use alphanumeric or graphical passwords, or token-
based techniques that require “something you know and something you have”. The …
based techniques that require “something you know and something you have”. The …
ECG biometric recognition: A comparative analysis
The electrocardiogram (ECG) is an emerging biometric modality that has seen about 13
years of development in peer-reviewed literature, and as such deserves a systematic review …
years of development in peer-reviewed literature, and as such deserves a systematic review …