Relevant bibliographies by topics / Electromyographie de surface (sEMG)

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  1. Dissertations / Theses

Academic literature on the topic 'Electromyographie de surface (sEMG)'

Author: Grafiati
Published: 13 April 2024

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Dissertations / Theses on the topic "Electromyographie de surface (sEMG)"

1

Imrani, Sallak Loubna. "Evaluation of muscle aging using high density surface electromyography." Thesis, Compiègne, 2021. http://www.theses.fr/2021COMP2647.

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Avec le vieillissement de la population, préserver la fonction musculaire est important pour éviter la perte de mobilité et d'autonomie. De nos jours, la prévention de la maladie musculaire, la sarcopénie, est une préoccupation majeure et des facteurs de risque importants tels que l'âge avancé ainsi que des facteurs modifiables, notamment une faible activité physique et une alimentation déséquilibrée ont été identifiés. Compte tenu de la croissance des populations plus âgées et de la diminution de l'activité physique, qui touche également les jeunes citoyens, la sensibilisation à la qualité mu
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Douania, Inès. "Multi-scales, multi-physics personalized HD-sEMG model for the evaluation of skeletal muscle aging." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2679.

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Le vieillissement musculaire, en tant qu'entité pathologique, est connu sous le nom de sarcopénie. Il est défini comme une réduction de la force musculaire accompagnée d'une perte de masse musculaire et d'un déclin des fonctions physiques. Les méthodologies actuellement utilisées en pratique clinique pour évaluer cette maladie liée au vieillissement sont plutôt limitées pour saisir les caractéristiques de ce déclin à l'échelle macroscopique: mesure de la force et de la masse musculaire. Cependant, diagnostiquer la sarcopénie en mesurant uniquement ces deux paramètres n'est pas assez précis et
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3

Zanghieri, Marcello. "sEMG-based hand gesture recognition with deep learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18112/.

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Hand gesture recognition based on surface electromyographic (sEMG) signals is a promising approach for the development of Human-Machine Interfaces (HMIs) with a natural control, such as intuitive robot interfaces or poly-articulated prostheses. However, real-world applications are limited by reliability problems due to motion artifacts, postural and temporal variability, and sensor re-positioning. This master thesis is the first application of deep learning on the Unibo-INAIL dataset, the first public sEMG dataset exploring the variability between subjects, sessions and arm postures, by colle
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AFSHARIPOUR, BABAK. "Estimation of load sharing among muscles acting on the same joint and Applications of surface electromyography." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2535698.

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The force produced by a specific muscle cannot be measured and what is measured is the total force provided by all the active muscles acting on a joint, including agonists and antagonists. The first part of this work (chapter 3) addresses the issue of load sharing by proposing two possible approaches and testing them. The second part (chapter 4 and 5) addresses two applications of surface EMG focusing on the study of a) muscle relaxation associated to Yoga sessions and b) the activation of muscle of the back and shoulder of musicians playing string instruments (violin, viola and cello). In bot
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BEGNONI, GIACOMO. "ELECTROMYOGRAPHIC EVALUATION OF THE EFFICACY OF MYOFUNCTIONAL THERAPY IN PATIENTS WITH ATYPICAL SWALLOWING." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/618978.

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ABSTRACT Objectives: Swallowing is a complex physiologic function developing mostly in the first years of life. After 6 years old, if a complete maturation is not achieved, swallowing persists as “atypical swallowing” (AS). The therapy provided to re-educate this dysfunction is based on the myofunctional treatment (MFT). The aim of this study was to detect functional (electromyographical) and clinical (orofacial muscular evaluation with score (OMEs) protocol) effects of MFT in a group of patients with AS so to highlight any differences in the muscular activation pattern and muscular orofa
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6

Zhao, Yuchen. "Human skill capturing and modelling using wearable devices." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/27613.

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Industrial robots are delivering more and more manipulation services in manufacturing. However, when the task is complex, it is difficult to programme a robot to fulfil all the requirements because even a relatively simple task such as a peg-in-hole insertion contains many uncertainties, e.g. clearance, initial grasping position and insertion path. Humans, on the other hand, can deal with these variations using their vision and haptic feedback. Although humans can adapt to uncertainties easily, most of the time, the skilled based performances that relate to their tacit knowledge cannot be easi
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7

Berro, Soumaya. "Identification of muscle activation schemes by inverse methods applied on HD-sEMG signals." Electronic Thesis or Diss., Compiègne, 2022. http://www.theses.fr/2022COMP2708.

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L'identification rapide ou en temps réel de l'activation spatio-temporelle des unités motrices (UM) qui représentent les unités fonctionnelles du système neuromusculaire est fondamentale dans les applications de contrôle des prothèses et en réhabilitation fonctionnelle. Cependant, cette procédure demande un temps de calcul énorme. Par conséquent, le travail de cette thèse a été consacré à fournir un algorithme permettant l'identification en temps réel des stratégies d'activation spatiale et temporelle des UMs en appliquant des méthodes inverses sur les signaux HD-sEMG (électromyogramme de surf
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8

Naik, Ganesh Ramachandra, and ganesh naik@rmit edu au. "Iterative issues of ICA, quality of separation and number of sources: a study for biosignal applications." RMIT University. Electrical and Computer Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090320.115103.

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This thesis has evaluated the use of Independent Component Analysis (ICA) on Surface Electromyography (sEMG), focusing on the biosignal applications. This research has identified and addressed the following four issues related to the use of ICA for biosignals: • The iterative nature of ICA • The order and magnitude ambiguity problems of ICA • Estimation of number of sources based on dependency and independency nature of the signals • Source separation for non-quadratic ICA (undercomplete and overcomplete) This research first establishes the applicability of ICA for sEMG and als
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9

Lienhard, Karin. "Effet de l'exercice physique par vibration du corps entier sur l'activité musculaire des membres inférieurs : approche méthodologique et applications pratiques." Thesis, Nice, 2014. http://www.theses.fr/2014NICE4080/document.

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L’objectif de cette thèse a été d’analyser l’effet de l’exercice physique réalisé sur plateforme vibrante (whole-body vibration, WBV) sur l’activité musculaire des membres inférieurs, de développer des outils d’analyse méthodologiques et de proposer des recommandations pratiques d’utilisation. Deux études méthodologiques ont été menées pour identifier la méthode optimale permettant de traiter les signaux d'électromyographie de surface (sEMG) recueillis pendant la vibration et d'analyser l'influence de la méthode de normalisation de l'activité sEMG. Une troisième étude visait à mieux comprendre
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10

LION, BREUIL VALERIE. "Apport de l'etude de l'activite electrique musculaire de surface a l'aide d'un materiel portable au cours de tests d'effort chez le sportif." Amiens, 1991. http://www.theses.fr/1991AMIEM116.

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