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 …

A review of multi-factor authentication in the Internet of Healthcare Things

T Suleski, M Ahmed, W Yang, E Wang - Digital health, 2023 - journals.sagepub.com
Objective This review paper aims to evaluate existing solutions in healthcare authentication
and provides an insight into the technologies incorporated in Internet of Healthcare Things …

BAED: A secured biometric authentication system using ECG signal based on deep learning techniques

AJ Prakash, KK Patro, M Hammad… - Biocybernetics and …, 2022 - Elsevier
Biometric authentication technology has become increasingly common in our daily lives as
information protection and control regulation requirements have grown worldwide. A …

ResNet‐Attention model for human authentication using ECG signals

M Hammad, P Pławiak, K Wang, UR Acharya - Expert Systems, 2021 - Wiley Online Library
Authentication is the process of verifying the claimed identity of the user. Recently, traditional
authentication methods such as passwords, tokens, and so on are no longer used for …

A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram

N Musa, AY Gital, N Aljojo, H Chiroma… - Journal of ambient …, 2023 - Springer
The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Deep learning and big data in healthcare: a double review for critical beginners

L Bote-Curiel, S Munoz-Romero, A Gerrero-Curieses… - Applied Sciences, 2019 - mdpi.com
In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …

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 …

An enhanced electrocardiogram biometric authentication system using machine learning

E Al Alkeem, SK Kim, CY Yeun, MJ Zemerly… - IEEE …, 2019 - ieeexplore.ieee.org
Traditional authentication systems use alphanumeric or graphical passwords, or token-
based techniques that require “something you know and something you have”. The …

ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation

Z Zhao, Y Zhang, Y Deng, X Zhang - Computers in biology and medicine, 2018 - Elsevier
Electrocardiogram (ECG) is gaining increased attention as a biometric method in a wide
range of applications, such as access control and security/privacy requirements. The …

Biometric recognition: A systematic review on electrocardiogram data acquisition methods

TMC Pereira, RC Conceição, V Sencadas, R Sebastião - Sensors, 2023 - mdpi.com
In the last decades, researchers have shown the potential of using Electrocardiogram (ECG)
as a biometric trait due to its uniqueness and hidden nature. However, despite the great …