Literatura científica selecionada sobre o tema "Muscles – Modèles mathématiques"
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Artigos de revistas sobre o assunto "Muscles – Modèles mathématiques"
Imessad, Khaled, e Noureddine Aït Messaoudène. "Modèle mathématique de prédiction de la sensation thermique et de la réponse physiologique chez l’être humain". Journal of Renewable Energies 11, n.º 4 (31 de dezembro de 2008). http://dx.doi.org/10.54966/jreen.v11i4.104.
Texto completo da fonteTeses / dissertações sobre o assunto "Muscles – Modèles mathématiques"
Funk, Catherine Irène. "Modélisation mathématique du système de phosphates à haute énergie au cours des échanges énergétiques de la cellule musculaire". Vandoeuvre-les-Nancy, INPL, 1990. http://www.theses.fr/1990INPL067N.
Texto completo da fonteEl, Makssoud Hassan. "Modélisation et identification des muscles squelettiques sous stimulation électrique fonctionnelle". Montpellier 2, 2005. http://www.theses.fr/2005MON20205.
Texto completo da fonteEl, Falou Wassim. "Une approche de la segmentation dans des signaux de longue durée fortement bruités : application en ergonomie". Troyes, 2002. http://www.theses.fr/2002TROY0008.
Texto completo da fonteThis work relates to develop a signal processing methodology dedicated to the characterization of very noisy long duration electromyographic signals (SEMG). The first step correspond to signal segmentation based on a cumulative sum algorithm, followed by rejection and classification procedures to lead to the extraction of relevant parameters for muscular fatigue detection. The method of segmentation was developed in order to detect the various activities included in the SEMG signal. An automatic approach of thresholds adjustment was carried out. The definition of two thresholds (high and low) led to a significant increase in the algorithm performance. The application domain of this work was the evaluation of SEMG as revealing the state of muscular fatigue, which would be induced by discomfort in long term driving tasks
Helal, Jean-Noël. "Discrimination de signaux électromyographiques non stationnaires : application à la contraction dynamique". Compiègne, 1990. http://www.theses.fr/1990COMPD229.
Texto completo da fonteEbadzadeh, Mohamad Mehdi. "Modélisation des voies réflexes et cérébelleuses, permettant le calcul des fonctions inverses : application à la commande d'un actionneur à deux muscles pneumatiques". Paris, ENST, 2004. http://www.theses.fr/2004ENST0046.
Texto completo da fonteBouchard, Stéphane. "Relation dynamique entre les signaux électromyographiques et le couple produit au coude lors de contractions à angles constants". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60876.pdf.
Texto completo da fonteEl, Hajj Dib Imad. "Analyse et modélisation de l'EMG et de la fatigue musculaire lors de mouvements dynamiques cycliques". Compiègne, 2006. http://www.theses.fr/2006COMP1666.
Texto completo da fonteThe surface EMG is a non-invasive method which allows the diagnosis of the muscular function. Our study relates to fatigue in dynamic contraction. We achieved two parallel tasks: realization of experiments to collect real EMG, and model development to simulate synthetic EMG. The signal processing tools classically used to quantify fatigue are the Fourier transform, adapted to the isometric signals, and time-frequency, adapted to the dynamic signals. We were then interested in the cyclostationnarity. The results show that spectral coherence, cyclostationnarity tool, increases with muscular fatigue whereas the average traditional or instantaneous frequency, is mainly influenced by the action potential conduction velocity. Spectral coherence thus makes it possible to quantify fatigue under conditions where the traditional tools do not provide significant information
Cao, Hua. "Modélisation et évaluation expérimentale de la relation entre le signal EMG de surface et la force musculaire". Compiègne, 2010. http://www.theses.fr/2010COMP1856.
Texto completo da fonteThe estimation of the force generated by a muscle is important in biomechanical studies and clinical applications. As this force cannot be measured directly, the surface electromyography signal (SEMG), reflecting the level of muscle activation, is used to quantify the force developed. However, all the factors controlling an isometric contraction do not influence the force and the SEMG simultaneously. The aim of this study is to develop a simulation model of SEMG and force in order to study the EMG-force relationship. For this purpose, we first developed a new method to simulate the muscle force from an existing EMG model. We tested the complete model with two recruitment strategies and studied the influence of target force duration. Then we used a Monte Carlo method to study the sensitivity of the model to various input physiological parameters. Two existing criteria (EMG-force and force-force variability relationships) and a new criterion (error between the target force and the generated force) were used to optimize the parameters in constant target force contractions. This new criterion was then used in variable target force contractions (sinusoidal or triangular target) in order to obtain the optimum parameter ranges. Finally, to evaluate our model, we performed experiments and simulations for the biceps. The results have shown that our EMG-force model can qualitatively simulate the behaviour of the biceps for isotonic and anisotonic contractions
Laville, Aurélien. "Modélisation géométrique et mécanique du complexe musculo-squelettique du rachis cervical sous facteur de charge". Phd thesis, Paris, ENSAM, 2010. http://pastel.archives-ouvertes.fr/pastel-00553250.
Texto completo da fonteAnderson, Judith. "Elasticité musculaire longitudinale et transversale : Influence de l'absence de desmine". Compiègne, 2000. http://www.theses.fr/2000COMP1315.
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