Arrhythmias

Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning.

BACKGROUND AND OBJECTIVE: To safely select the proper therapy for Ventricullar Fibrillation (VF) is ...

Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.

Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant f...

Disease-free survival assessment by artificial neural networks for hepatocellular carcinoma patients after radiofrequency ablation.

BACKGROUND/PURPOSE: Radiofrequency ablation (RFA) provides an effective treatment for patients who e...

Reducing false arrhythmia alarm rates using robust heart rate estimation and cost-sensitive support vector machines.

To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cos...

Risk factors associated with high thyroglobulin level following radioactive iodine ablation, measured 12 months after treatment for papillary thyroid carcinoma.

PURPOSE: The measurement of serum thyroglobulin (Tg) of papillary thyroid carcinoma patients, 12 mon...

Substantial superiority of Niobe ES over Niobe II system in remote-controlled magnetic pulmonary vein isolation.

BACKGROUND: Catheter ablation of atrial fibrillation (AFib) primarily relies upon pulmonary vein iso...

Runtime Verification of Pacemaker Functionality Using Hierarchical Fuzzy Colored Petri-nets.

Today, implanted medical devices are increasingly used for many patients and in case of diverse heal...

Prescription of Guideline-Recommended Implantable Cardioverter Defibrillator and Cardiac Resynchronization Therapy Among Patients Hospitalized With Heart Failure and Varying Degrees of Renal Function.

Implantable cardioverter defibrillators (ICD) and cardiac resynchronization therapy (CRT) reduce mor...

A novel algorithm for ventricular arrhythmia classification using a fuzzy logic approach.

In the present study, it has been shown that an unnecessary implantable cardioverter-defibrillator (...

Re: Aquablation-Image-Guided Robot-Assisted Waterjet Ablation of the Prostate: Initial Clinical Experience.

A novel machine learning-enabled framework for instantaneous heart rate monitoring from motion-artifact-corrupted electrocardiogram signals.

This paper proposes a novel machine learning-enabled framework to robustly monitor the instantaneous...

Relationship between right and left ventricular function in candidates for implantable cardioverter defibrillator with low left ventricular ejection fraction.

BACKGROUND: Indications for the primary prevention of sudden death using an implantable cardioverter...

Reducing false alarms in the ICU by quantifying self-similarity of multimodal biosignals.

False arrhythmia alarms pose a major threat to the quality of care in today's ICU. Thus, the PhysioN...

Reduction of false arrhythmia alarms using signal selection and machine learning.

In this paper, we propose an algorithm that classifies whether a generated cardiac arrhythmia alarm ...

Suppression of false arrhythmia alarms in the ICU: a machine learning approach.

This paper presents a novel approach for false alarm suppression using machine learning tools. It pr...

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...