Parcourir Sciences Et Techniques thématique/sous thématique "Sciences de la santé humaine"
Voici les éléments 1-7 de 7
-
Cinématique du grand battement et du développé chez des danseurs amateurs : effets à court terme d’un étirement statique ou dynamique
11 décembre 2020, HE Louvain en HainautArticle scientifiqueLes jeunes danseurs amateurs semblent utiliser majoritairement l’étirement statique. Or, la littérature montre également l’efficacité de l’étirement dynamique sur la performance des sportifs. L’un de ces étirements est-il dès lors plus favorable à l’exécution de deux mouvements de danse classique, le grand battement et développé ? Seize participants ont réalisé ces mouvements dans trois conditions ... -
Fine adaptive precision grip control without maximum pinch strength changes after upper limb neurodynamic mobilization
30 juin 2021, HE Louvain en HainautArticle scientifiqueBefore and immediately after passive upper limb neurodynamic mobilizations targeting the median nerve, grip ( GF ) and load ( LF ) forces applied by the thumb, index and major fingers (three-jaw chuck pinch) were collected using a manipulandum during three different grip precision tasks: grip-lifthold- replace (GLHR), vertical oscillations (OSC), and vertical oscillations with up and down ... -
Head Pitch Angular Velocity Discriminates (Sub-)Acute Neck Pain Patients and Controls Assessed with the DidRen Laser Test
06 avril 2022, CeREF TechniqueArticle scientifiqueUnderstanding neck pain is an important societal issue. Kinematic data from sensors may help to gain insight into the pathophysiological mechanisms associated with neck pain through a quantitative sensorimotor assessment of one patient. The objective of this study was to evaluate the potential usefulness of artificial intelligence with several machine learning (ML) algorithms in assessing neck ... -
Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test
03 juillet 2022, CeREF TechniqueArticle scientifiqueNowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (SampEn), which assesses the complexity of motion variability in identifying the condition of low back pain. ... -
NOMADe : présentation du projet et premières réalisations
11 décembre 2020, CeREF TechniqueArticle scientifiqueOù le projet INTERREG FWVL NOMADe (NeurOMuskuloskeletAl Disorders – e-learning ecosystem) est présenté, ainsi que deux réalisations illustrant la première année de son déroulement -
« NOMADe » Le projet INTERREG pour les Troubles Neuro-Musculo-Squelettiques (TNMS)
01 septembre 2020, CeREF TechniquePublication d'intérêt général/pressePrésentation de projet Interreg FWVl NOMADe -
Sample Entropy as a Tool to Assess Lumbo-Pelvic Movements in a Clinical Test for Low-Back-Pain Patients
22 mars 2022, CeREF TechniqueArticle scientifiqueLow back pain (LBP) obviously reduces the quality of life but is also the world’s leading cause of years lived with disability. Alterations in motor response and changes in movement patterns are expected in LBP patients when compared to healthy people. Such changes in dynamics may be assessed by the nonlinear analysis of kinematical time series recorded from one patient’s motion. Since sample ...