Arrhythmias

High-Performance Personalized Heartbeat Classification Model for Long-Term ECG Signal.

Long-term electrocardiogram (ECG) has become one of the important diagnostic assist methods in clini...

Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.

In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in...

Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.

OBJECTIVE: Quantitative ventricular fibrillation (VF) waveform analysis is a potentially powerful to...

Comparison of Support-Vector Machine and Sparse Representation Using a Modified Rule-Based Method for Automated Myocardial Ischemia Detection.

An automatic method is presented for detecting myocardial ischemia, which can be considered as the e...

Symbolic features and classification via support vector machine for predicting death in patients with Chagas disease.

This paper introduces a technique for predicting death in patients with Chagas disease using feature...

Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition.

Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac ail...

Wavelet-based unsupervised learning method for electrocardiogram suppression in surface electromyograms.

We present a novel approach aimed at removing electrocardiogram (ECG) perturbation from single-chann...

Percutaneous Ultrasound-Guided Laser Ablation with Contrast-Enhanced Ultrasonography for Hyperfunctioning Parathyroid Adenoma: A Preliminary Case Series.

The study was to evaluate the safety and effectiveness of ultrasound-guided percutaneous laser ablat...

Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.

This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) be...

Arrhythmia ablation using the Amigo Robotic Remote Catheter System versus manual ablation: One year follow-up results.

Sleep stage classification with ECG and respiratory effort.

Automatic sleep stage classification with cardiorespiratory signals has attracted increasing attenti...

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks.

GOAL: This paper presents a fast and accurate patient-specific electrocardiogram (ECG) classificatio...

An Automatic Subject-Adaptable Heartbeat Classifier Based on Multiview Learning.

In this paper, a novel subject-adaptable heartbeat classification model is presented, in order to ad...

Impact of catheter ablation with remote magnetic navigation on procedural outcomes in patients with persistent and long-standing persistent atrial fibrillation.

BACKGROUND: The objectives of this study were to assess the procedural outcomes of persistent and lo...

Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network.

Premature ventricular contraction (PVC) is a common type of abnormal heartbeat. Without early diagno...

ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster.

The paper deals with ECG prediction based on neural networks classification of different types of ti...

Robotic ablation of atrial fibrillation.

BACKGROUND: Pulmonary vein isolation (PVI) is an established treatment for atrial fibrillation (AF)....

Automatic supporting system for regionalization of ventricular tachycardia exit site in implantable defibrillators.

Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey ...

A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG.

GOAL: This paper presents a methodology for the automatic detection of sleep apnea from single-lead ...

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters.

Automatic processing and accurate diagnosis of pathological electrocardiogram (ECG) signals remains ...

Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.

Patients suffering from atrial fibrillation can be classified into different subtypes, according to ...