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

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 ...

Background: Microvascular obstruction (MVO) is a critical predictor of adverse outcomes including mortality and the development of heart failure following ST-segment Elevation Myocardial Infarction ...

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 ...

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 ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...

Background: Electrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is ...