Biometric technology has various applications in smart healthcare systems, including patient
authentication, health monitoring, telemedicine, clinical decision support, and personalized …

User authentication has become necessary in different life domains. Traditional
authentication methods like personal information numbers (PINs), password ID cards, and …

Over the past decade, the use of biometrics in security systems and other applications has
grown in popularity. ECG signals in particular are attracting increased attention due to their …

The principal component analysis network (PCANet) is a simplified convolutional neural
network (CNN) implemented using a deep subspace learning model. Since its typical PCA …

In recent years, China's economy has been developing rapidly, and people's life and quality
of life have been improving; more importantly, people's habits and living habits have also …

A principal component analysis network (PCANet), as one of the representative deep
subspace learning networks, utilizes principal component analysis (PCA) to learn filters that …

With the increasing demand for security and privacy, identity recognition based on the
unique biometric features of ECG signals is gaining more and more attention. This paper …

The ECG signal contain vital information for cardiac disease which is one of main cause of
catastrophic mortality. In conventional technique, the signals are extracted through different …

Due to the advantages of Electrocardiogram (ECG) signals, which are challenging to
replicate yet easy to get, ECG-based identification has become a new path in biometric …