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Background: Conventional electrocardiography (ECG) analysis faces a persistent dichotomy: Expert-defined features provide interpretability but are limited in capturing latent high-dimensional patterns, whereas deep learn...

Paramedics in the United Kingdom independently assess patients with transient loss of consciousness (TLOC) in community settings. The UK’s National Institute for Health and Care Excellence publishes clinical guidelines...

Drug-induced cardiac arrhythmias are central to physiology and pharmacology education, yet students often struggle to connect electrophysiological mechanisms with dynamic electrocardiographic (ECG) changes. We developed ...

Abstract In previous work, we introduced an ‘invisible’ ECG system with electrodes integrated into a toilet seat, capturing signals from the thighs. Here, we present the tOLIet dataset with single-lead thigh ECGs to ...

ABSTRACT Background and Aims Electrocardiographic (ECG) markers may provide incremental prognostic value for cardiovascular disease (CVD) events beyond traditional ASCVD risk scores. This study aimed to evaluate the asso...

Reliable beat-level arrhythmia detection from electrocardiogram (ECG) signals is essential for continuous patient monitoring. However, many existing deep learning models remain computationally expensive and are sensitive...

INTRODUCTION: Generalised anxiety disorder (GAD) is primarily characterized by persistent anxiety and worry, factors which are potentially associated with alterations in P-wave parameters. This study aimed to investigate...

Abstract Accurately estimating peak width and wave duration (WD) is a significant challenge across various scientific disciplines. Traditional methods, such as Full Width at Half Maximum (FWHM), often encounter difficult...

Goal: To enable comfortable and non-invasive heart rhythm monitoring, this work aims to reconstruct electrocardiogram (ECG) signals from photoplethysmogram (PPG) signals, eliminating the need for multiple electrode attac...

Abstract BackgroundAtrial fibrillation (AF) and atrial flutter (AFL) are common arrhythmias associated with the risk of ischemic stroke, which can be reduced with anticoagulation therapy. Thus, early diagnosi...

Abstract We present a new dataset comprising radar, Electrocardiography (ECG), respiration, and inertial measurement signal recordings from 23 individuals while performing a series of simulated harmful behaviors. This da...

PurposeProlonged QT intervals are clinically relevant in patients with type 2 diabetes mellitus (T2DM). However, accurately detecting the Q and T points in electrocardiogram (ECG) signals remains challenging owing to the...

Abstract Purpose Perinatal complications can occur in gestational diabetes mellitus (GDM) despite adequate metabolic control and standard diagnostics. Metabolic alterations can cause structural and functional changes in ...

"Left Bundle Branch Block (LBBB) diagnosis is crucial for patient stratification and the selection of individuals who are likely to respond to Cardiac Resynchronization Therapy (CRT). The pathophysiological distinction b...

Abstract We propose a continuous stress-detection pipeline that integrates wavelet-based heart-rate-variability (HRV) features with behavioural signals in a staged ensemble. The method computes time-resolved HRV spectral...

Abstract Introduction Atrial fibrillation (AF) is a major cardiovascular complication of thyrotoxicosis but its burden and predictors are poorly described in sub-Saharan Africa. We assessed the prevalence, clinical cours...

Introduction Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) may cause stress-induced transient acute cardiac dysfunction through myocardial stunning, in the form of exacerbation-triggered Takotsubo ...

Abstract Triplicate electrocardiograms (ECGs) are routinely included in clinical trials where concern of agent-induced electrophysiological alterations arise. Three electrocardiograms (triplicate ECGs) are obtained over ...

Embodied therapies such as movement therapy have shown promise in enhancing emotional regulation, cognitive engagement, and physical rehabilitation. However, scalable and personalized delivery of such interventions remai...

Abstract Background With the widespread adoption of percutaneous coronary intervention (PCI), patients experiencing acute myocardial infarction (AMI) complicated by ventricular arrhythmia (VA) continue to encounter a sig...

Abstract Background Ischemic stroke (IS) remains a leading cause of death and disability worldwide. Stroke–heart syndrome, triggered by acute cerebral ischemia, causes autonomic dysfunction that can result in myocardia...

Abstract Background The ability of echocardiography (TTE) to diagnose cardiac sarcoidosis (CS) has traditionally been limited by its low sensitivity. We sought to determine the optimal TTE parameters to detect cardiac in...

This conceptual paper examines the adoption of Artificial Intelligence (AI)-driven wearable technology, including smartwatches, fitness trackers, wearable ECGs, glucose monitors, and pain management devices, in transform...

Background. Long QT Syndrome (LQTS) is a hereditary cardiac channelopathy that predisposes individuals to malignant arrhythmias and sudden cardiac death. In athletes, physiological cardiac adaptations can mask or mimic L...