Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Abstract: Electrocardiogram (ECG) and phonocardiogram (PCG) signals reflect the electrical and mechanical activities of the heart, respectively. Although studies have documented that some ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

Fortunately, we live in a time when most information can be recovered from another device or the cloud. Now, iPhone users can add another app to that list. Signal has announced that secure backups are ...

Background: Abdominal fetal electrocardiography (fECG) is an emerging noninvasive tool for fetal monitoring. A key challenge is separating the weak fetal signal from overlapping maternal ECG and ...

Abstract: The diagnosis of cardiac disorders heavily relies on electrocardiogram signal classification processes. The proposed research establishes an Enhanced Crow Search Algorithm (ECSA)-based ...

Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...