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Academic literature on the topic 'Technique de resynchronisation'
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Journal articles on the topic "Technique de resynchronisation"
Sharma, Parikshit S., and Pugazhendhi Vijayaraman. "Conduction System Pacing for Cardiac Resynchronisation." Arrhythmia & Electrophysiology Review 10, no. 1 (April 12, 2021): 51–58. http://dx.doi.org/10.15420/aer.2020.45.
Full textDomenichini, Giulia, Ihab Diab, Niall Campbell, Mehul Dhinoja, Ross Hunter, Simon Sporton, Mark Earley, and Richard Schilling. "55 A Highly Effective Technique for Transseptal Endocardial Left Ventricular Lead Placement for Delivery of Cardiac Resynchronisation Therapy." Heart 101, Suppl 4 (June 2015): A30.2—A31. http://dx.doi.org/10.1136/heartjnl-2015-308066.55.
Full textGabor, Sabine, Guenther Prenner, Andrae Wasler, Martin Schweiger, Karl Heinz Tscheliessnigg, and Frejya Maria Smolle-Jüttner. "A simplified technique for implantation of left ventricular epicardial leads for biventricular resynchronisation using video-assisted thoracoscopy (VATS)." European Journal of Cardio-Thoracic Surgery 28, no. 6 (December 2005): 797–800. http://dx.doi.org/10.1016/j.ejcts.2005.08.026.
Full textShah, Ashok J., Meleze Hocini, Patrizio Pascale, Laurent Roten, Yuki Komatsu, Matthew Daly, Khaled Ramoul, et al. "Body Surface Electrocardiographic Mapping for Non-invasive Identification of Arrhythmic Sources." Arrhythmia & Electrophysiology Review 2, no. 1 (2013): 16. http://dx.doi.org/10.15420/aer.2013.2.1.16.
Full textChousou, Panagiota A., Rahul K. Chattopadhyay, Gareth D. K. Matthews, Vassilios S. Vassiliou, and Peter J. Pugh. "Location, Location, Location: A Pilot Study to Compare Electrical with Echocardiographic-Guided Targeting of Left Ventricular Lead Placement in Cardiac Resynchronisation Therapy." Diagnostics 14, no. 3 (January 30, 2024): 299. http://dx.doi.org/10.3390/diagnostics14030299.
Full textWaight, Michael, Abdula Elawady, Heather Gage, Morro Touray, and Shaumik Adhya. "Day case complex devices: the state of the UK." Open Heart 6, no. 1 (April 2019): e001023. http://dx.doi.org/10.1136/openhrt-2019-001023.
Full textSidhu, Baldeep S., Justin Gould, Mark K. Elliott, Vishal Mehta, Steven Niederer, and Christopher A. Rinaldi. "Leadless Left Ventricular Endocardial Pacing and Left Bundle Branch Area Pacing for Cardiac Resynchronisation Therapy." Arrhythmia & Electrophysiology Review 10, no. 1 (April 12, 2021): 45–50. http://dx.doi.org/10.15420/aer.2020.46.
Full textLewis, Geoffrey F., and Michael R. Gold. "Developments in Cardiac Resynchronisation Therapy." Arrhythmia & Electrophysiology Review 04, no. 2 (2015): 122. http://dx.doi.org/10.15420/aer.2015.04.02.122.
Full textTang, Haipeng, Shaojie Tang, and Weihua Zhou. "A Review of Image-guided Approaches for Cardiac Resynchronisation Therapy." Arrhythmia & Electrophysiology Review 6, no. 2 (2017): 69. http://dx.doi.org/10.15420/aer.2016.32.2.
Full textTang, Haipeng, Shaojie Tang, and Weihua Zhou. "A Review of Image-guided Approaches for Cardiac Resynchronisation Therapy." Arrhythmia & Electrophysiology Review 6, no. 2 (2017): 69. http://dx.doi.org/10.15420/aer.2016:32:2.
Full textDissertations / Theses on the topic "Technique de resynchronisation"
Bouchakour, Omar. "Contrôle-santé structurel passif à ondes guidées, basé sur des réseaux de capteurs ultrasonores désynchronisés." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2025. http://www.theses.fr/2025UPHF0004.
Full textThe evolution of structural health monitoring (SHM) in recent years has witnessed the emergence of independent sensor networks with limited material resources. However, the signals recorded by these sensors for passive imaging can exhibit desynchronizations that make it difficult to locate damage in the inspected structure. Although the peak correlation technique (PCT), based on the symmetry of noise correlation functions, can be applied to correct these offsets, achieving perfect synchronization is challenging in the presence of electronic noise and/or reconstruction of the Green's function. In this manuscript, a study of the behavior of residual errors associated with imperfect resynchronization, as a function of the statistical parameters of noise, is conducted. Then, the degradation of the contrast of defect localization images is quantified as a function of the standard deviation of these resynchronization errors. Subsequently, a process based on the Moore-Penrose pseudo-inversion is developed to minimize these errors and improve the quality of the localization images. This study is then extended to the case of defect localization with anisotropic scattering. Finally, a feasibility study is carried out on a network of wireless communicating sensors
Albezzawy, Muhammad Nabil Mustafa. "Advanced signal processing methods for source identification using references." Electronic Thesis or Diss., Lyon, INSA, 2024. http://www.theses.fr/2024ISAL0074.
Full textRank-reduced reference/coherence techniques based on the use of references, i.e. fixed sensors, are widely used to solve the two equivalent problems of source extraction and resynchronization encountered during remote sensing of physical fields, when the number of references surpasses the number of incoherent sources. In such case, the cross-spectral matrix (CSM) becomes ill-conditioned, resulting in the invalidity of the least squares LS solution. Although the truncated singular value decomposition (TSVD) was successfully applied in the literature to solve this problem, its validity is limited only to the case of scalar noise on the references. It is also very difficult to define a threshold, for truncation, when the singular values are gradually decreasing. This thesis proposes a solution based on finding a set of virtual references that is maximally correlated with the field measurements, named the maximally-coherent reference (MCR) Technique. This solution is optimal, especially, in the case of correlated noise on the reference, where TSVD fails. However the technique also includes an eigenvalue truncation step, similar to the one required for the TSVD, which necessitates a priori knowledge or the estimation of the number of incoherent sources, i.e. source enumeration, which is an ill-posed inverse problem, insufficiently investigated in the literature within the framework of reference techniques. In this thesis, after providing a unified formalism for all the reference techniques in the literature, three alternative source enumeration methods, applicable to all the reference techniques, were presented namely; a direct likelihood ratio test (LRT) against the saturated model, a parametric bootstrap technique and a cross-validation approach. A comparative study is performed among the three methods, based on simulated numerical data, real sound experimental data, and real electrical motor data. The results showed two important outcomes. The first is that the number of snapshots (spectral windows), used in the spectral analysis, greatly affects the performance of the three methods, and that, they behave differently for the same number of used snapshots. The second is that parametric bootstrapping turned out to be the best method in terms of both estimation accuracy and robustness with regard to the used number of snapshots. Finally, the MCR technique accompanied with bootstrapping was employed for source extraction and resynchronization of real data from laboratory experiments, and an e-motor, and it returned better results than the LS solution and the TSVD when employed for the same purpose
Rogers, Dominic Piers Scott. "Expanding techniques and indications for multisite pacing in heart failure." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607648.
Full textGarcia, Marie-Paule. "Caractérisation du réseau veineux en imagerie scanner 4D : contribution à la planification de thérapie par resynchronisation cardiaque." Phd thesis, Université Rennes 1, 2011. http://tel.archives-ouvertes.fr/tel-00590975.
Full textCourtial, Nicolas. "Fusion d’images multimodales pour l’assistance de procédures d’électrophysiologie cardiaque." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S015.
Full textCardiac electrophysiology procedures have been proved to be efficient to suppress arrythmia and heart failure symptoms. Their success rate depends on patient’s heart condition’s knowledge, including electrical and mechanical functions and tissular quality. It is a major clinical concern for these therapies. This work focuses on the development of specific patient multimodal model to plan and assist radio-frequency ablation (RFA) and cardiac resynchronization therapy (CRT). First, segmentation, registration and fusion methods have been developped to create these models, allowing to plan these interventional procedures. For each therapy, specific means of integration within surgical room have been established, for assistance purposes. Finally, a new multimodal descriptor has been synthesized during a post-procedure analysis, aiming to predict the CRT’s response depending on the left ventricular stimulation site. These studies have been applied and validated on patients candidate to CRT and ARF. They showed the feasibility and interest of integrating such multimodal models in the clinical workflow to assist these procedures