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 …

[PDF][PDF] End-to-end data authentication deep learning model for securing IoT configurations

M Hammad, AM Iliyasu, IA Elgendy… - Human-centric computing …, 2022 - hcisj.com
Compared to other biometrics, electrocardiograms (ECGs) have gained widespread
acceptability as mediums for validating animateness in numerous security applications …

[HTML][HTML] The design and evaluation of adaptive biometric authentication systems: Current status, challenges and future direction

R Ryu, S Yeom, D Herbert, J Dermoudy - ICT Express, 2023 - Elsevier
Biometric authentication systems may suffer from decreasing recognition performance due
to varying environmental conditions and sample ageing, which cause intra-class variability …

[HTML][HTML] Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets: Generic incremental transfer learning approach and …

KT Chui, V Arya, SS Band, M Alhalabi, RW Liu… - Journal of Innovation & …, 2023 - Elsevier
Open datasets serve as facilitators for researchers to conduct research with ground truth
data. Generally, datasets contain innovation and knowledge in the domains that could be …

ECG authentication based on non-linear normalization under various physiological conditions

HB Hwang, H Kwon, B Chung, J Lee, IY Kim - Sensors, 2021 - mdpi.com
The development and use of wearable devices require high levels of security and have
sparked interest in biometric authentication research. Among the available approaches …

ECG-based authentication systems: a comprehensive and systematic review

S Asadianfam, MJ Talebi, E Nikougoftar - Multimedia Tools and …, 2024 - Springer
In recent years, security systems based on biometric features have become a promising
solution to identify humans, and it is preferred over traditional methods working based on …

Hybrid-pattern recognition modeling with arrhythmia signal processing for ubiquitous health management

WT Hsiao, YC Kan, CC Kuo, YC Kuo, SK Chai, HC Lin - Sensors, 2022 - mdpi.com
We established a web-based ubiquitous health management (UHM) system,“ECG4UHM”,
for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns …

Identity recognition in sanitary facilities using invisible electrocardiography

AS Silva, MV Correia, F de Melo, HP da Silva - Sensors, 2022 - mdpi.com
This article proposes a new method of identity recognition in sanitary facilities based on
electrocardiography (ECG) signals. Our team previously proposed a novel approach of …

Broken Heart: Privacy Leakage Analysis on ECG‐Based Authentication Schemes

S Noh, J Kim, S Lee, Y Kang, C Park… - Security and …, 2022 - Wiley Online Library
Authentications using biometrics, such as fingerprint recognition and electrocardiogram
(ECG), have been actively used in various applications. Unlike traditional authentication …

Heartisan: An incremental learning based arrhythmia detection, data collection, and monitoring system

IR Nijhum, A Ghosh, H Hassan… - 2023 IEEE 36th …, 2023 - ieeexplore.ieee.org
Cardiac disease is the leading cause of death worldwide, which is why the importance of
early heart disease prediction is rising daily. Patient data from modern ECG systems can be …