Cluster analysis to investigate biomechanical changes during learning of manual wheelchair locomotion: a preliminary study
| Autor: | Philippe Vaslin, E. Mephu-Nguifo, Hélène Pillet, V. S. Siyou Fotso, Christophe Sauret, Pascale Fodé, Joseph Bascou |
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| Přispěvatelé: | Laboratoire de biomécanique (LBM), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13), Institut de Biomecanique Humaine Georges Charpak, Université Paris 13 (UP13)-Arts et Métiers ParisTech, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institution Nationale des Invalides - Centre d’Etudes et de Recherche sur l’Appareillage des Handicapés (INI/CERAH), Arts et Métiers ParisTech, HESAM Université (HESAM), Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
medicine.medical_specialty
Engineering Biomedical Engineering Bioengineering 02 engineering and technology Kinematics computer.software_genre Manual wheelchair 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation 020204 information systems 0202 electrical engineering electronic engineering information engineering medicine Mécanique: Biomécanique [Sciences de l'ingénieur] business.industry Biomechanics [SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph] General Medicine Computer Science Applications Human-Computer Interaction Motor task Data mining business computer 030217 neurology & neurosurgery |
| Zdroj: | Computer Methods in Biomechanics and Biomedical Engineering Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2015, French Society of Biomechanics, 18 (sup1), pp.2058-2059. ⟨10.1080/10255842.2015.1069621⟩ Computer Methods in Biomechanics and Biomedical Engineering, 2015, French Society of Biomechanics, 18 (sup1), pp.2058-2059. ⟨10.1080/10255842.2015.1069621⟩ |
| ISSN: | 1025-5842 1476-8259 |
| DOI: | 10.1080/10255842.2015.1069621⟩ |
| Popis: | International audience; Learning a new motor task is characterized by improvements in movement smoothness and kinematics repeatability (Shmuelof et al., 2012). Hence, demonstrating biomechanical changes during the early phase of learning can be difficult due to high standard deviations that directly affect statistical analysis. Especially for curve analysis, timing variability results in wide corridor of normality. In addition, in the early phase of learning, each trial participates to the learning process, compromising the collection of redundant data. Besides, for further biomechanical analysis, curves selection/exclusion is often required, and is generally done manually based on a single parameter. The aim of this study was to investigate the interest of cluster analysis (i) to describe biomechanical changes during the early phase of learning manual wheelchair (MWC) locomotion and (ii) to define representative time courses of the locomotion parameters at different steps of the leaning process. |
| Databáze: | OpenAIRE |
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