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Academic literature on the topic 'Formation par simulation haute fidélité'
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Journal articles on the topic "Formation par simulation haute fidélité"
Boussoffara, L., S. Bouchareb, N. Boudawara Keskes, I. Touil, A. Omrane, A. Zaafouri, and J. Knani. "Apport de la formation par simulation haute-fidélité en pneumologie." Revue des Maladies Respiratoires 36 (January 2019): A80. http://dx.doi.org/10.1016/j.rmr.2018.10.155.
Full textAllain, M., V. Kuczer, C. Longo, E. Batard, and P. Le Conte. "Place de la simulation dans la formation initiale des urgentistes : enquête nationale observationnelle." Annales françaises de médecine d’urgence 8, no. 2 (April 2018): 75–82. http://dx.doi.org/10.3166/afmu-2018-0042.
Full textDrummond, D. "Apprentissage par simulation en pédiatrie : l’exemple de l’arrêt cardiorespiratoire de l’enfant." Annales françaises de médecine d’urgence 9, no. 4 (March 17, 2019): 254–60. http://dx.doi.org/10.3166/afmu-2019-0144.
Full textBouin, T. "La simulation sur mannequin haute fidélité dans la formation initiale des sages-femmes." La Revue Sage-Femme 12, no. 2 (April 2013): 93–97. http://dx.doi.org/10.1016/j.sagf.2012.12.002.
Full textHanslik, Thomas. "Premier et second cycles des études médicales : le mirage de l’enseignement par simulation haute-fidélité." La Revue de Médecine Interne 46, no. 1 (January 2025): 1–3. https://doi.org/10.1016/j.revmed.2025.01.001.
Full textLe Guen, M., P. Roulleau, G. Cheisson, D. Benhamou, and M. Fischler. "Intérêt pédagogique, perçu par l’étudiant, de l’introduction à la simulation haute fidélité en deuxième cycle des études médicales." Annales Françaises d'Anesthésie et de Réanimation 32, no. 1 (January 2013): 66. http://dx.doi.org/10.1016/j.annfar.2012.10.030.
Full textLe Guen, M., P. Roulleau, G. Cheisson, D. Benhamou, and M. Fischler. "Intérêt pédagogique, perçu par l’étudiant, de l’introduction à la simulation haute-fidélité en deuxième cycle des études médicales." Annales Françaises d'Anesthésie et de Réanimation 32, no. 2 (February 2013): 124–25. http://dx.doi.org/10.1016/j.annfar.2012.12.003.
Full textJabre, P., C. Jbeili, X. Combes, H. Coignard, A. Margenet, E. Lecarpentier, J. Marty, J. P. Farcet, and C. Bertrand. "Intérêt de la simulation haute-fidélité dans l’évaluation de l’application de procédures de soins par les médecins urgentistes." Annales françaises de médecine d'urgence 1, no. 6 (September 30, 2011): 379–86. http://dx.doi.org/10.1007/s13341-011-0122-4.
Full textMASSOUBRE, B. "Apport de la simulation dans la formation à l’éthique médicale." Revue Médecine et Armées, Volume 50, Numéro 4 (December 6, 2024): 83–94. https://doi.org/10.17184/eac.8995.
Full textHardy, Jean-Baptiste, Antoine Gouin, Cédric Damm, Vincent Compère, Benoit Veber, and Bertrand Dureuil. "Évaluation par simulation haute-fidélité de l’intérêt d’une checklist sur la prise en charge d’une situation d’urgence au bloc opératoire : exemple de l’hyperthermie maligne." Anesthésie & Réanimation 1 (September 2015): A67. http://dx.doi.org/10.1016/j.anrea.2015.07.103.
Full textDissertations / Theses on the topic "Formation par simulation haute fidélité"
Bouchot, Hélène. "Observer autrui lors de séances de simulation haute-fidélité : une activité mimétique et ludique portée par des en-jeux sérieux." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS104.
Full textThe aim of this thesis is to produce knowledge about the observation activity during a high-fidelity simulation session (HFS), as part of initial maieutic training. This activity remains a gray area both from a scientific point of view and from the point of view of training, whereas it is standard practice during initial health professions training. Observation makes it possible to respond to the constraint of training a large number of students, by using a pedagogical device that is not too time-consuming which takes advantage of the video equipment and HFS rooms, in accordance with the recommendations of the French National Authority of Health (HAS). This study falls within the empirical research program (aimed at the knowledge production) and technological research (aimed at the continued enrichment in the use of HFS ) of ‘course of action’ (Theureau, 2004, 2006) in order to analyze the observation activity of five midwife students, during a module of several HFS sessions. This epistemological framework of 'enactive cultural anthropology' makes it possible to consider the observers’ point of view in order to gain a better understanding of their activity, partly silent, as well as its transformative potential. Data analysis constructed from the videos of the observation situations and self-confrontation interviews, make emerge typical structures of different levels in the organization of the activity. The observation activity is organized cooperatively as if it were a game, with indeterminations of the situations being considered as a stake of strictly conventional order to the observers. It is accompanied by various levels of mimetic immersion, as for video-training devices, with updates-synchronizations-comparisons of concerns from observers and observed students. This allowing to gain a better understanding of the complexity of a work situation in its social, spatial and technical dimensions.Moreover, our results also highlight transformative processes emerge from this activity of observation: a) relevant to maieutic practice as resources potentially mobilizable in real future practice and promising performance in similar situations, b) specific to simulation in order to gain playability and, c) that lead to rethink debriefing accompaniment during HFS session. Thus, the activity of observation is typically updated in an activity of a ludo-utilitarian nature, reflecting an appropriation of the social-technical environment of observation, making it define this particular moment of the training device by HFS, as a fun and utilitarian video space
Feghoul, Kevin. "Deep learning for simulation in healthcare : Application to affective computing and surgical data science." Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILS033.
Full textIn this thesis, we address various tasks within the fields of affective computing and surgicaldata science that have the potential to enhance medical simulation. Specifically, we focuson four key challenges: stress detection, emotion recognition, surgical skill assessment, andsurgical gesture recognition. Simulation has become a crucial component of medical training,offering students the opportunity to gain experience and refine their skills in a safe, controlledenvironment. However, despite significant advancements, simulation-based trainingstill faces important challenges that limit its full potential. Some of these challengesinclude ensuring realistic scenarios, addressing individual variations in learners’ emotionalresponses, and, for certain types of simulations, such as surgical simulation, providing objectiveassessments. Integrating the monitoring of medical students’ cognitive states, stresslevels and emotional states, along with incorporating tools that provide objective and personalizedfeedback, especially for surgical simulations, could help address these limitations.In recent years, deep learning has revolutionized the waywe solve complex problems acrossvarious disciplines, leading to significant advancements in affective computing and surgicaldata science. However, several domain-specific challenges remain. In affective computing,automatically recognizing stress and emotions is challenging due to difficulties in definingthese states and the variability in their expression across individuals. Furthermore, themultimodal nature of stress and emotion expression introduces another layer of complexity,as effectively integrating diverse data sources remains a significant challenge. In surgicaldata science, the variability in surgical techniques across practitioners, the dynamic natureof surgical environments, and the challenge of effectively integrating multiple modalitieshighlight ongoing challenges in surgical skill assessment and gesture recognition. The firstpart of this thesis introduces a novel Transformer-based multimodal framework for stressdetection that leverages multiple fusion techniques. This framework integrates physiologicalsignals from two sensors, with each sensor’s data treated as a distinct modality. Foremotion recognition, we propose a novel multimodal approach that employs a Graph ConvolutionalNetwork (GCN) to effectively fuse intermediate representations from multiplemodalities, extracted using unimodal Transformer encoders. In the second part of this thesis,we introduce a new deep learning framework that combines a GCN with a Transformerencoder for surgical skill assessment, leveraging sequences of hand skeleton data. We evaluateour approach using two surgical simulation tasks that we have collected. Additionally,we propose a novel Transformer-based multimodal framework for surgical gesture recognitionthat incorporates an iterative multimodal refinement module to enhance the fusionof complementary information from different modalities. To address existing dataset limitationsin surgical gesture recognition, we collected two new datasets specifically designedfor this task, on which we conducted unimodal and multimodal benchmarks for the firstdataset and unimodal benchmarks for the second
Guven, Umut. "Simulation haute-fidélité de la combustion pour les moteurs-fusées." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR30/document.
Full textIgnition is a key point in the design of liquid rocket engine (LRE), and it requires to take into account several distinct physical phenomena that constitute numerical challenges. The first point addressed during this thesis is the modeling and simulation using Large Eddy Simulation of a LRE igniter in a configuration close to VINCI rocket engine. The hot gases from the igniter, rich in oxygen, are delivered at supersonic speeds in a chamber filled with hydrogen. Such configuration creates under-expanded jets with multiple shock/shock or shock/flame interactions. A focus is done on the ignition process. The second point addressed is the modeling and simulation of high pressure H2/O2 combustion which occurs. In particular, the effects of non-ideal diffusion are studied through a 1D premixed flames and a 2D splitter plate configuration. An impact of modeling on the species produced and the temperature field is highlighted
Achard, Timothée. "Techniques de calcul de gradient aéro-structure haute-fidélité pour l'optimisation de voilures flexibles." Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1140/document.
Full textTo improve the structural design of flexible wings, gradient based Multidisciplinary Design Optimization (MDO) techniques are effective and widely used. However, gradients calculation is not trivial and can be costly when high-fidelity models are considered. Our objective is to study different suitable approaches to compute gradients of aeroelastic loads with respect to structural design parameters.To this end, two high-fidelity aero-structure gradient computation techniques for strongly coupled aeroelastic systems are proposed. The most intrusive technique includes the well-established direct and adjoint formulations that require substantial implementation effort. In contrast, we propose an alternative uncoupled non-intrusive approach easier to implement and yet capable of providing accurate gradients approximations. Both techniques have been implemented in the Onera elsA CFD software.Accuracy, efficiency and applicability of these methods are demonstrated on the civil transport aircraft Common Research Model (CRM) test-case. More specifically, an inverse design problem is set up with the objective of matching an in-flight target twist law distribution. These two methods prove to be comparable in terms of accuracy and cost. Thus they offer additional operational flexibility depending on the level of integration sought in the MDO process
Andre, Frederic. "Analyse d'une activité en formation initiale de kinésithérapie : le cas de l'aspiration trachéobronchique." Thesis, Toulouse 2, 2019. http://dante.univ-tlse2.fr/id/eprint/7171.
Full textAdvances in digital tools are transforming teaching methods in initial and professional training. Among them, high fidelity simulation for health is now key. Various studies show the value of using simulation in initial training, specifically for the acquisition of technical gestures (hard skills) and knowledge, and emotion management (soft skills) during acts. Thus, this thesis is part of the initial training in a physiotherapy institute based on an experiential approach. In this research-action we will endeavour, with occupational didactics, to apprehend the mechanisms triggered by simulation by comparing them to another method. Two axes will be considered. The first will focus through quantitative data collection on assessing acquisition of theoretical knowledge by our learners by simulation versus a practical work. The second, through the use of self-confrontation interviews, will attempt to understand the differences in students' clinical reasoning. Schema analysis will lead us to offer answers to our questions and point out teaching strategies. The conclusion to our research will consider the setting up of learning sequence adjustment resulting from the analysis of the interviews. We also propose as a result of this work, the creation of another technological tool that will interest the medical and paramedical community. To our knowledge, this is one of the few studies on simulation in physiotherapy linking the simulation approach and clinical immersion
Bourguet, Rémi. "Analyse physique et modélisation d'écoulements turbulents instationnaires compressibles autour de surfaces portantes par approches statistiques haute-fidélité et de dimension réduite dans le contexte de l'interaction fluide-structure." Phd thesis, Toulouse, INPT, 2008. http://oatao.univ-toulouse.fr/7756/1/bourguet1.pdf.
Full textRicca, Aylen. "Effets de la fidélité dans les simulateurs de réalité virtuelle sur l'apprentissage des compétences techniques en chirurgie." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG031.
Full textThe reform of medical studies in France attributes an important role to simulation in healthcare professionals' training. In this context, virtual reality simulators can be very useful. However, the fidelity of these systems remains an open question with a lack of guidelines for determining their appropriate levels of fidelity to support effective training. In this thesis, we are interested in the fidelity of immersive simulators for the training of technical skills in surgery. More particularly, we investigate how the fidelity of interactions and artifacts to perform certain tasks in the simulator could affect the efficiency of these systems. From a theoretical perspective, we propose an articulation of the concepts of simulator fidelity through a model based on the various fidelity components identified in our literature review, and the various interfaces and interactions used in virtual simulators for the training of technical skills. Two experimental studies were conducted to explore the factors of simulator fidelity associated with a navigation task and a tool handling task and their impacts on the learning of two technical skills in virtual reality. The results show that the simulator's interaction techniques and artifacts with a moderate fidelity can support the completion of secondary tasks for effective training. The designers of virtual simulators can rely on the recommendations resulting from our work in order to avoid including certain devices and fidelity components, which can be cumbersome and expensive without a real impact on the efficiency of these simulators
Marinus, Benoît. "Multidisciplinary optimization of aircraft propeller blades." Phd thesis, Ecole Centrale de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00692363.
Full textCedola, Alessia. "Production de faisceaux de rayons-X submicroniques par guide d'onde en couches minces." Université Joseph Fourier (Grenoble ; 1971-2015), 1999. http://www.theses.fr/1999GRE10040.
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