Arrhythmias

Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival o...

Efficient Fine Arrhythmia Detection Based on DCG P-T Features.

Due to the high mortality associated with heart disease, there is an urgent demand for advanced dete...

Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms.

The ventricular arrhythmia Torsades de Pointes (TdP) is a common form of drug-induced cardiotoxicity...

Semi-supervised clustering of fractionated electrograms for electroanatomical atrial mapping.

BACKGROUND: Electrogram-guided ablation procedures have been proposed as an alternative strategy con...

Ready-to-use parenteral amiodarone: a feasibility study towards a long-term stable product formulation.

OBJECTIVES: To determine the feasibility of preparing a long-term stable ready-to-use parenteral ami...

Mechanisms of memory storage in a model perirhinal network.

The perirhinal cortex supports recognition and associative memory. Prior unit recording studies reve...

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.

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...