Arrhythmias

Evaluation of antiarrhythmia drug through QSPR modeling and multi criteria decision analysis.

This study explores how topological indices (TIs), which are mathematical descriptors of a drug's mo...

DPP-DTT Nanowire Phototransistors for Optoelectronic Synapses in EMG and ECG Signal Classification.

A neuromorphic phototransistor based on nanowire-patterned diketopyrrolo-pyrrole-dithienylthieno[3,2...

Beyond the type 1 pattern: comprehensive risk stratification in Brugada syndrome.

Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of...

A Sensor Array Composed of Organelle-Targeting Fluorescent Probes and Polydopamine Particles for Deep Learning-Assisted Identification and Ablation of Drug-Resistant Lung Tumors.

Lung cancer, a leading cause of global cancer-related mortality, predominantly features nonsmall cel...

Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment.

Depression is a prevalent mental health disorder that significantly impacts well-being and qual...

Investigating the Impact of the Stationarity Hypothesis on Heart Failure Detection using Deep Convolutional Scattering Networks and Machine Learning.

Detection of Cardiovascular Diseases (CVDs) has become crucial nowadays, as the World Health Organiz...

The role of computational modeling in enhancing thermal safety during cardiac ablation.

OBJECTIVE: In this narrative review, we aim to provide an analysis of current cardiac ablation techn...

Necl-4/CADM4 regulates GABAergic synaptic strength on GABAergic inhibitory neurons via ErbB4 activation and prevents neuronal impairments.

Neural networks comprise excitatory and inhibitory neurons, linked through excitatory and inhibitory...

Failure of standard contemporary ST-elevation myocardial infarction electrocardiogram criteria to reliably identify acute occlusion of the left anterior descending coronary artery.

AIMS: ST-elevation (STE) criteria on the electrocardiogram (ECG) are poorly sensitive for acute coro...

Artificial Intelligence-Enabled Short-Term Ambulatory Monitoring ECG during Sinus Rhythm for Prediction of Hidden Atrial Fibrillation.

BACKGROUND: Screening of asymptomatic/occult atrial fibrillation (AF) remains challenging. This stud...

Machine Learning Identification of Athlete Sport Type Through ECG Analysis.

Convolutional Neural Network Fused With Recurrent Network for ECG-Based Detection of Hypertrophic Cardiomyopathy.

BACKGROUND: Hypertrophic Cardiomyopathy (HCM) affects the left ventricle of the heart, leading to th...

ISENet: a deep learning model for detecting ischemic ST changes in long-term ECG monitoring.

Long-term ECG monitoring is crucial for detecting asymptomatic or intermittent myocardial ischemia, ...

Risk Stratification of CABG Patients Using an Artificial Intelligence ECG-Derived Age.

OBJECTIVE: To assess the prognostic value of artificial intelligence electrocardiogram-derived (AI E...

Comparison of conventional and radiomics-based analysis of myocardial infarction using multimodal non-linear optical microscopy.

Myocardial infarction, a leading cause of mortality worldwide, leaves survivors at significant risk ...

Electrocardiographic sex index: a continuous representation of sex.

Clinical risk calculators consider sex as a binary variable. However, sex is a complex trait with an...

A Lightweight ML-Based ECG Classification System using Self-Personalized Anomaly Detector.

Targeting the real-time arrhythmia diagnosis on resource-limited edge devices, in this paper, we pre...

Harnessing AlphaFold to reveal hERG channel conformational state secrets.

To design safe, selective, and effective new therapies, there must be a deep understanding of the st...

ModelS4Apnea: leveraging structured state space models for efficient sleep apnea detection from ECG signals.

. Sleep apnea is a common sleep disorder associated with severe health risks, necessitating accurate...

Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Per...

Artificial intelligence-enhanced ECG detection of acute coronary occlusion in chest pain patients with ST-elevation in lead aVR - A direct comparison to conventional ECG criteria.