Results 51 to 60 of about 199,518 (221)

Fortuitous Left Bundle Branch Area Pacing in a Small Child

open access: yesJACC: Case Reports, 2021
Deep septal pacing is an emerging technique for physiologic pacing in adults. We report a case where left bundle capture was inadvertently achieved in a small child with routine lead deployment into a thin septum and discuss the potential feasibility of this technique for future study. (Level of Difficulty: Advanced.)
openaire   +2 more sources

SMS in PACE 2020 [PDF]

open access: yes, 2020
We describe SMS, our submission to the exact treedepth track of PACE 2020. SMS computes the treedepth of a graph by branching on the small minimal separators of the graph.
arxiv   +1 more source

Bridging the future of cardiac stimulation: physiologic or leadless pacing? [PDF]

open access: yes, 2022
Cardiac simulation has moved from early life-saving pacemakers meant only to prevent asystole to current devices capable of physiologic stimulation for the treatment of heart rhythm and heart failure, that are also intended for remote patient and disease-
Angeletti A.   +13 more
core   +1 more source

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching [PDF]

open access: yesarXiv, 2023
Security critical software, e.g., OpenSSL, comes with numerous side-channel leakages left unpatched due to a lack of resources or experts. The situation will only worsen as the pace of code development accelerates, with developers relying on Large Language Models (LLMs) to automatically generate code.
arxiv  

Proceedings Sixth Workshop on Formal Languages and Analysis of Contract-Oriented Software [PDF]

open access: yesEPTCS 94, 2012, 2012
The ability to negotiate contracts for a wide range of aspects and to provide services conforming to them is a most pressing need in service-oriented architectures. High-level models of contracts are making their way into the area, but application developers are still left to their own devices when it comes to writing code that will comply with a ...
arxiv   +1 more source

Cardiac resynchronization therapy by left bundle branch area pacing in patients with heart failure and left bundle branch block [PDF]

open access: yesHeart Rhythm, 2019
Cardiac resynchronization therapy (CRT) via biventricular pacing has demonstrated clinical benefits in patients with heart failure (HF) and ventricular dyssynchrony. Other approaches of CRT is little known.The purpose of this study was to assess the feasibility, safety, and efficacy of left bundle branch area pacing (LBBAP) in patients with HF and left
Weiwei Zhang   +8 more
openaire   +3 more sources

Branching out:CRT beyond current concepts [PDF]

open access: yes, 2021
Patients suffering from heart failure and delay in electrical activation of the heart can be treated with cardiac resynchronization therapy (CRT). This treatment restores the synchronous contraction of the two large cardiac chambers (ventricles) using a ...
Verzaal, Nienke Juliƫtte
core   +1 more source

ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks [PDF]

open access: yesarXiv, 2023
Arrhythmia is just one of the many cardiovascular illnesses that have been extensively studied throughout the years. Using multi-lead ECG data, this research describes a deep learning (DL) pipeline technique based on convolutional neural network (CNN) algorithms to detect cardiovascular lar arrhythmia in patients.
arxiv  

Reversible T-wave inversions during left bundle branch area pacing

open access: yesKardiologia Polska, 2022
Our clinical observation found that T-wave inversions (TWIs) appeared during left bundle branch area pacing (LBBAP); however, the incidence and influencing factors were unclear. The study aimed to investigate the effects of LBBAP on T-wave and explore possible factors associated with TWIs.This was a retrospective cohort study. An electrocardiogram (ECG)
Jie, Geng   +7 more
openaire   +2 more sources

A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network [PDF]

open access: yesarXiv, 2020
This paper presents an end-to-end ECG signal classification method based on a novel segmentation strategy via 1D Convolutional Neural Networks (CNN) to aid the classification of ECG signals. The ECG segmentation strategy named R-R-R strategy (i.e., retaining ECG data between the R peaks just before and after the current R peak) for segmenting the ...
arxiv  

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