Results 131 to 140 of about 105,442 (300)

Averaged Impedance Drop Estimates Conduction Gap During Pulmonary Vein Isolation in Atrial Fibrillation

open access: yesJournal of Cardiovascular Electrophysiology, EarlyView.
ABSTRACT Background EnSite X provides a module to filter oscillated generator impedance signals due to cardiac beating/respiration (averaged impedance drop, AID). TactiFlex ablation catheter Sensor Enabled (TFSE) is the latest product to incorporate a contact‐force sensor with a flexible tip but without lesion‐estimating parameters.
Masahide Harada   +6 more
wiley   +1 more source

Symptomatic giant left atrial aneurysm in a child : a rare entity [PDF]

open access: yes, 2010
Isolated left atrial aneurysms are rare entities in clinical practice. Usually the condition is diagnosed in the second to fourth decades of life. The presence of such lesions in the pediatric age group is scantily described.
Awasthy, Neeraj   +4 more
core   +1 more source

Prototype Learning for Medical Time Series Classification via Human–Machine Collaboration

open access: yesSensors
Deep neural networks must address the dual challenge of delivering high-accuracy predictions and providing user-friendly explanations. While deep models are widely used in the field of time series modeling, deciphering the core principles that govern the
Jia Xie   +4 more
doaj   +1 more source

Impact of Pulsed Field Ablation Dosing on Outcome After Pulmonary Vein Isolation Using a Pentaspline Ablation Catheter: A Prospective Comparison of 8 Versus 16 Applications

open access: yesJournal of Cardiovascular Electrophysiology, EarlyView.
ABSTRACT Background Pulsed field ablation (PFA) is a novel, non‐thermal ablation modality to achieve pulmonary vein isolation (PVI) for the treatment of atrial fibrillation (AF). For the pentaspline catheter, eight applications per pulmonary vein (PV) are considered standard, with four in basket configuration and four in flower configuration.
Katharina Ji‐Mi Yang   +8 more
wiley   +1 more source

Role of a Deep‐Learning Based Convolutional Neural Network Model for Real‐Time Ventricular Tachycardia Alarm Classification

open access: yesJournal of Cardiovascular Electrophysiology, EarlyView.
Our manuscript discusses the role of a Convolutional Neural network based Deep‐learning model for the classification of ventricular tachycardia alarms. Our algorithm based on input from multiple raw waveform inputs, including electrocardiogram leads, photoplethysmogram, and arterial blood pressure signals achieved a good degree of accuracy and ...
Unmesh Khanolkar   +5 more
wiley   +1 more source

When Delirium Unmasks a Silent Myocardial Infarction

open access: yesJournal of the American Geriatrics Society, EarlyView.
Abbreviations: hs‐TnT: high sensitivity Troponin T; STEMI: ST‐elevation myocardial infarction.
Eugenia Casali   +10 more
wiley   +1 more source

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