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Amel Amblard

Researcher at Joseph Fourier University

Publications -  37
Citations -  282

Amel Amblard is an academic researcher from Joseph Fourier University. The author has contributed to research in topics: Cardiac resynchronization therapy & Systole. The author has an hindex of 9, co-authored 37 publications receiving 275 citations. Previous affiliations of Amel Amblard include University of Grenoble.

Papers
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Journal ArticleDOI

A new dual-chamber pacing mode to minimize ventricular pacing

TL;DR: AAIsafeR mode was safe and preserved ventricular function during paroxysmal AV block, while maintaining a very low rate of ventricular pacing, and will be examined in a large, controlled study.
Journal ArticleDOI

Use of a new cardiac pacing mode designed to eliminate unnecessary ventricular pacing.

TL;DR: AAIsafeR2 mode seems to be safe and reliable in patients with infrequent slowing or pauses in ventricular activity, while maintaining ventricular pacing below 1%.
Patent

Automatic switching of DDD/AAI mode pacing for an active implantable medical device such as pacemaker, defibrillator and/or cardiovertor

TL;DR: In this paper, an active implantable medical device for cardiac rhythm management, such as a pacemaker, defibrillator, and/or cardioverter, having an improved DDD/AAI operating mode that automatically switches between operating in an AAI and a DDD pacing mode for the same purpose is presented.
Patent

Automatic commutations of AAI/DDD mode in the presence of paroxystic AVB in an active implantable medical device, in particular a cardiac pacemaker

TL;DR: In this article, the authors present a device including circuits able to control the switching of a AAI mode in a DDD mode, and conversely the return of DDD-mode to AAI-mode according to predetermined criteria of detection of atrio-ventricular block (AVB) of the first, second, or third degree and of ventricular pause.
Journal ArticleDOI

Endocardial acceleration (sonR) vs. ultrasound-derived time intervals in recipients of cardiac resynchronization therapy systems.

TL;DR: A high concordance was found between sonR and the cardiac ultrasound in the timings of aortic and mitral valve closures and in the estimation of systolic and diastolic intervals durations, suggesting that sonR could be used to monitor cardiac function and adaptively optimize CRT systems.