Results 91 to 100 of about 215,089 (284)
Indian Pacing and Electrophysiology Journal, 2014 Background: Normal heart ventricular arrhythmia occurring during pregnancy has been previously described. Whilst there are established reports of catheter ablation to treat supraventricular arrhythmia during pregnancy, there are no reports of ablation to
Dr. Andrew J. Hogarth, MBChB, PhD +1 more
doaj +1 more source
Journal of Pediatric Emergency and Intensive Care Medicine, 2023 The most common tachyarrhythmias in childhood are narrow QRS complex tachyarrhythmias. The majority of these are supraventricular tachycardia (SVT).
Aziz Zeytin, Çapan Konca, Celal Varan
doaj +1 more source
A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation [PDF]
Physiol. Meas. 39 (2018) 115006 (15pp)"Objective: The electrocardiogram (ECG) is currently the most widely used recording to diagnose cardiac disorders, including the most common supraventricular arrhythmia, such as atrial fibrillation (AF). However, different types of electrical disturbances, in which power-line interference (PLI) is a major problem, can mask and distort the original ECG ...
arxiv +1 more source
European Journal of Heart Failure, EarlyView.New anticancer therapies with potential cardiovascular side effects are continuously being introduced into clinical practice, with new and often unexpected toxicities becoming apparent only after clinical introduction. These unknown toxicities should be identified and understood beforehand to better prepare patients and physicians, enabling the ...
Alessandra Ghigo +22 more
wiley +1 more source
Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network [PDF]
arXiv, 2020 Objective: A novel structure based on channel-wise attention mechanism is presented in this paper. Embedding with the proposed structure, an efficient classification model that accepts multi-lead electrocardiogram (ECG) as input is constructed. Methods: One-dimensional convolutional neural networks (CNN) have proven to be effective in pervasive ...
arxiv
Cardiac Arrhythmia Classification by Multi-Layer Perceptron and Convolution Neural Networks
Bioengineering, 2018 The electrocardiogram (ECG) plays an imperative role in the medical field, as it records heart signal over time and is used to discover numerous cardiovascular diseases.
Shalin Savalia, V. Emamian
semanticscholar +1 more source
European Journal of Heart Failure, EarlyView.Association of clonal haematopoiesis with heart failure incidence and outcomes: A systematic review and meta‐analysis. Clonal haematopoiesis and heart failure: a meta‐analysis. CH, clonal haematopoiesis; CI, confidence interval; HF, heart failure. [Correction added on 15 March 2025, after first online publication: The graphical image was corrected in ...
Paschalis Karakasis +8 more
wiley +1 more source
Radiofrequency Catheter Ablation of Supraventricular Tachycardia
Indian Pacing and Electrophysiology Journal, 2002 Supraventricular tachycardias are quite common in clinical practice. Medical treatment of supraventricular tachycardia often involves regular intake of drugs for several years.
Hugh Calkins +2 more
doaj
Implementation of Neural Network and feature extraction to classify ECG signals [PDF]
arXiv, 2018 This paper presents a suitable and efficient implementation of a feature extraction algorithm (Pan Tompkins algorithm) on electrocardiography (ECG) signals, for detection and classification of four cardiac diseases: Sleep Apnea, Arrhythmia, Supraventricular Arrhythmia and Long Term Atrial Fibrillation (AF) and differentiating them from the normal heart
arxiv
A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network [PDF]
arXiv, 2020 This paper presents an end-to-end ECG signal classification method based on a novel segmentation strategy via 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals. The ECG segmentation strategy named R-R-R strategy (i.e., retaining ECG data between the R peaks just before and after the current R peak) for segmenting the ...
arxiv