The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

Electrocardiogram (ECG) has attracted intense research interests and contests due to its
great value in biometric applications, especially with the technological progress of smart …

The electrocardiogram is a topic of great importance from a medical and biometric
perspective, especially recently, as researchers have begun to search for new biometric …

The issue of electrocardiogram (ECG)‐based person identification has attracted intense
research interests nowadays. Different than existing related researches that advocate …

This study presents a novel driver authentication system utilizing electrocardiogram (ECG)
signals collected through dry electrodes embedded in the steering wheel. Traditional …

Ensemble learners and deep neural networks are state-of-the-art schemes for classification
applications. However, deep networks suffer from complex structure, need large amount of …

The electrocardiogram (ECG) has been proved to be the most common and effective method
of studying cardiovascular disease because it is simple, non-invasive, and inexpensive …

At present, people have higher requirements for the security of biometric technology.
Therefore, ECG-based human identification is attracting more attention. In this paper, we …

The subject matter of this article is an analysis and design of a biometric system based on
deep learning and machine learning for human identification through electrocardiography …

Le vieillissement est un phénomène complexe; 30% de la population française en 2020 est
considérée comme âgée. Le diagnostic en gériatrie devient donc un enjeu majeur pour …