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

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 ...

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 ...

A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...

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

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 ...

Background: The 12-lead electrocardiogram (ECG) is a widely-used medical test with significant prognostic potential. We hypothesized that a deep neural network can predict an important future clinical ...

Privacy-focused messaging app Signal announced on Monday that it’s introducing a feature that allows users to back up their text conversations for free, along with ...

Signal has introduced a new opt-in feature that helps users create end-to-end encrypted backups of their chats, allowing them to restore messages even if their phones are damaged or lost. Secure ...