The electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …

Traditional methods of authentication, such as keys, passwords, and PIN codes, are
increasingly being surpassed by the robustness and security offered by biometric systems …

We model the evolutionary patterns of financial stress (FS) for the USA, other advanced
economies (OAE), and emerging market (EM) regions during the COVID-19 pandemic. We …

In the last decade, biosignals have attracted the attention of many researchers when
designing novel biometrics systems. Many of these works use cardiac signals and their …

Integrating artificial intelligence (AI) into biomedical signal analysis represents a significant
breakthrough in enhanced precision and efficiency of disease diagnostics and therapeutics …

In recent years, there has been an exponential growth in sequencing projects due to
accelerated technological advances, leading to a significant increase in the amount of data …

Reliable personal identification is crucial. This study explores an ECG-based system using
spectrograms and involutional neural networks (INNs) for accurate person identification. The …

Abstract Background/Aim: In atrial fibrillation (AF) ablation procedures, it is desirable to know
whether a proper disconnection of the pulmonary veins (PVs) was achieved. We …

In this study, we propose a biometric authentication system that uses chest wall
displacement recorded by a wearable electromagnetic near-field sensor (NFS) module with …

When transmitting operation management information with State Grid data as the carrier,
iterative matching between State Grid data and operation management is the essence of …