Results 31 to 40 of about 543,312 (350)
Journal of interventional cardiac electrophysiology, 2020 Background Cardiovascular and arrhythmic events have been reported in hospitalized COVID-19 patients. However, arrhythmia manifestations and treatment strategies used in these patients have not been well-described.
R. Gopinathannair +10 more
semanticscholar +1 more source
Machine Learning in Arrhythmia and Electrophysiology.
Circulation Research, 2021 Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society.
N. Trayanova, D. Popescu, J. Shade
semanticscholar +1 more source
Sodium leak through K2P potassium channels and cardiac arrhythmia, an emerging theme. [PDF]
, 2017 In this issue of EMBO Molecular Medicine, Decher et al (2017) identify a point mutation in the K2P2 (TREK‐1) potassium (K+) channel that changes function in just those ways expected to predispose to right ventricular outflow tract (RVOT) ventricular
Goldstein, Steve An
core +2 more sources
Optimal Multi-Stage Arrhythmia Classification Approach
Scientific Reports, 2020 Arrhythmia constitutes a problem with the rate or rhythm of the heartbeat, and an early diagnosis is essential for the timely inception of successful treatment. We have jointly optimized the entire multi-stage arrhythmia classification scheme based on 12-
Jianwei Zheng +14 more
semanticscholar +1 more source
A common cardiac sodium channel variant associated with sudden infant death in African Americans, SCN5A S1103Y. [PDF]
, 2006 Thousands die each year from sudden infant death syndrome (SIDS). Neither the cause nor basis for varied prevalence in different populations is understood.
Bowers, Peter N +8 more
core +2 more sources
Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection
IEEE journal of biomedical and health informatics, 2020 Automated electrocardiogram (ECG) analysis for arrhythmia detection plays a critical role in early prevention and diagnosis of cardiovascular diseases. Extracting powerful features from raw ECG signals for fine-grained diseases classification is still a ...
Ruxin Wang, Jianping Fan, Ye Li
semanticscholar +1 more source
ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network
IEEE Access, 2019 The classification of electrocardiogram (ECG) signals is very important for the automatic diagnosis of heart disease. Traditionally, it is divided into two steps, including the step of feature extraction and the step of pattern classification.
Jingshan Huang +3 more
semanticscholar +1 more source
Cardiac safety of tiotropium in patients with cardiac events: a retrospective analysis of the UPLIFT® trial. [PDF]
, 2015 BackgroundTiotropium is an anticholinergic bronchodilator for symptom relief and reducing exacerbations with an established safety profile in patients with chronic obstructive pulmonary disease (COPD).
Decramer, Marc +3 more
core +1 more source
Journal of the Formosan Medical Association, 2022 Background/Purpose: Anticoagulant therapy is suggested within 45 days after Watchman device implantation for stroke prevention in patients with atrial fibrillation (AF).
Guohua Fu +9 more
doaj +1 more source
Contact force sensing in ablation of ventricular arrhythmias using a 56-hole open-irrigation catheter: a propensity-matched analysis. [PDF]
, 2021 PURPOSE: The effect of adding contact force (CF) sensing to 56-hole tip irrigation in ventricular arrhythmia (VA) ablation has not been previously studied.
A Sarkozy +16 more
core +1 more source