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 …

Photoplethysmographic biometrics: A comprehensive survey

RD Labati, V Piuri, F Rundo, F Scotti - Pattern Recognition Letters, 2022 - Elsevier
The wide diffusion of wearable sensors and mobile devices encouraged the study of
biometric recognition techniques that require a low level of cooperation from users. Among …

Arrhythmia classification algorithm based on multi-head self-attention mechanism

Y Wang, G Yang, S Li, Y Li, L He, D Liu - Biomedical Signal Processing and …, 2023 - Elsevier
Cardiovascular disease is a major illness that causes human death, especially in the elderly.
Timely and accurate diagnosis of arrhythmia types is the key to early prevention and …

Biometric identification from ECG signals using Fourier decomposition and machine learning

B Fatimah, P Singh, A Singhal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates biometric identification systems based on electrocardiogram (ECG)
signals and their intrasubject and intrasession validity. We develop an efficient algorithm …

Biometric Recognition in 3D Medical Images: A Survey

B Fu, N Damer - IEEE Access, 2023 - ieeexplore.ieee.org
This work explores the potential applications of biometric recognition in 3D medical imaging
data. We investigate various 3D imaging techniques commonly used in the medical domain …

Sparsity-based modified wavelet de-noising autoencoder for ECG signals

S Chatterjee, RS Thakur, RN Yadav, L Gupta - Signal Processing, 2022 - Elsevier
Electrocardiogram (ECG) is susceptible to different kinds of noises whose removal is
necessary for accurate clinical diagnosis. This paper proposes a hybrid technique that …

Securing Internet-of-Medical-Things networks using cancellable ECG recognition

SA El-Moneim Kabel, GM El-Banby, LA Abou Elazm… - Scientific Reports, 2024 - nature.com
Reinforcement of the Internet of Medical Things (IoMT) network security has become
extremely significant as these networks enable both patients and healthcare providers to …

ELEKTRA: ELEKTRokardiomatrix application to biometric identification with convolutional neural networks

C Fuster-Barceló, P Peris-Lopez, C Camara - Neurocomputing, 2022 - Elsevier
Biometric systems are an uprising technique of identification in today's world. Many different
systems have been used in everyone's daily life in the past years, such as fingerprint, face …

[HTML][HTML] KeyEncoder: A secure and usable EEG-based cryptographic key generation mechanism

L Hernández-Álvarez, E Barbierato, S Caputo… - Pattern Recognition …, 2023 - Elsevier
Nowadays, a rapid, easy, and convenient access to our private information is essential to
carry out both personal and professional activities. In most cases, this information is …

Security enhancement of the access control scheme in IoMT applications based on fuzzy logic processing and lightweight encryption

GM El-Banby, LAA Elazm, W El-Shafai… - Complex & Intelligent …, 2024 - Springer
Abstract Security of Internet-of-Medical-Things (IoMT) networks has evolved as a vital issue
in recent years. The IoMT networks are designed to link patients with caregivers. All reports …