AIMC Topic: Heart Conduction System

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Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Humans Prospective Studies Female Aged Risk Assessment Severity of Illness Index Treatment Outcome Follow-Up Studies Survival Rate Male Middle Aged Catheter Ablation Recurrence Statistics, Nonparametric Atrial Flutter Tricuspid Valve Cardiac Catheters Robotics Equipment Design Surgery, Computer-Assisted Patient Selection Heart Conduction System Reference Values
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Substantial superiority of Niobe ES over Niobe II system in remote-controlled magnetic pulmonary vein isolation.

International journal of cardiology Dec 22, 2016
BACKGROUND: Catheter ablation of atrial fibrillation (AFib) primarily relies upon pulmonary vein isolation (PVI), but such procedures are associated with significant X-ray exposure. The newer Epoch system has been developed so as to enable more preci...
Pulmonary Veins Equipment Design Fluoroscopy Surgery, Computer-Assisted Catheter Ablation Magnetics Heart Conduction System Atrial Fibrillation Middle Aged Treatment Outcome Humans Imaging, Three-Dimensional Robotics Female Male
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Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.

IEEE transactions on bio-medical engineering Nov 16, 2016
GOAL: We use noninvasive data (body surface potential mapping, BSPM) to personalize the main parameters of a cardiac electrophysiological (EP) model for predicting the response to different pacing conditions.
Heart Conduction System Models, Cardiovascular Reproducibility of Results Body Surface Potential Mapping Humans Sensitivity and Specificity Diagnosis, Computer-Assisted Algorithms Patient-Centered Care Computer Simulation
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Using artificial intelligence-enabled electrocardiogram to predict cardiac resynchronization therapy outcomes of left bundle branch area pacing.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Dec 28, 2023
Cardiac Resynchronization Therapy Electrocardiography Cardiac Pacing, Artificial Heart Conduction System Humans Treatment Outcome Bundle of His Artificial Intelligence Heart Failure Ventricular Function, Left
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Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2018
AIMS: Diagnosing long QT syndrome (LQTS) is challenging due to a considerable overlap of the QTc-interval between LQTS patients and healthy controls. The aim of this study was to investigate the added value of T-wave morphology markers obtained from ...
Risk Factors Time Factors Genetic Predisposition to Disease Electrocardiography Phenotype Humans Signal Processing, Computer-Assisted Retrospective Studies Reproducibility of Results Long QT Syndrome Heart Conduction System Support Vector Machine Heart Rate Action Potentials Predictive Value of Tests
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Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.

Circulation. Arrhythmia and electrophysiology Jan 1, 2018
BACKGROUND: Cardiac resynchronization therapy (CRT) reduces morbidity and mortality in heart failure patients with reduced left ventricular function and intraventricular conduction delay. However, individual outcomes vary significantly. This study so...
Heart Failure Cardiac Resynchronization Therapy Heart Conduction System Male Ventricular Function, Left Stroke Volume Decision Making Predictive Value of Tests Middle Aged Deep Learning Algorithms Female Aged Humans Machine Learning
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Beat-to-beat variability of P-wave in patients suffering from atrial fibrillation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The aim of this paper was to analyze the P-wave variability over time in patients suffering from Atrial Fibrillation (AF). Behind some time-domain and morphological features of the P-wave template, two novel indexes of P-wave variability have been es...
Atrial Fibrillation Heart Atria Postoperative Period Sensitivity and Specificity Case-Control Studies Coronary Artery Bypass Humans Models, Theoretical Cardiovascular Diseases Heart Conduction System
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A cardiac electrical activity model based on a cellular automata system in comparison with neural network model.

Pakistan journal of pharmaceutical sciences Mar 1, 2016
Cardiac Electrical Activity is commonly distributed into three dimensions of Cardiac Tissue (Myocardium) and evolves with duration of time. The indicator of heart diseases can occur randomly at any time of a day. Heart rate, conduction and each elect...
Animals Time Factors Action Potentials Heart Rate Models, Cardiovascular Heart Conduction System Arrhythmias, Cardiac Humans Neural Networks, Computer Computer Simulation
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