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    • Adiabatic Invariant of Center-of-Mass Motion during Walking as a Dynamical Stability Constraint on Stride Interval Variability and PredictabilityPeer reviewedOpen access 

      09 septembre 2022, BUISSERET, Fabien; Dehouck, Victor; Boulanger, Nicolas; HENRY, Guillaume; Piccinin, Florence; White, Olivier; DIERICK, Frédéric, HE Louvain en Hainaut
      Article scientifique
      Human walking exhibits properties of both stability and variability. On the one hand, the variability of the interval of time between heel strikes is autocorrelated, i.e., not randomly organized. On the other hand, walking is highly stereotyped and arguments from general mechanics suggest that the stability of gait can be assessed according to invariant properties. This study aims at proposing ...

    • Sample Entropy as a Tool to Assess Lumbo-Pelvic Movements in a Clinical Test for Low-Back-Pain PatientsPeer reviewedOpen access 

      22 mars 2022, Thiry, Paul; Nocent, Olivier; BUISSERET, Fabien; Bertucci William; Thévenon, André; Simoneau-Buessinger, Emilie, CeREF Technique
      Article scientifique
      Low 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 ...

    • Walking stride interval variability in patients with diabetic Charcot foot: A pilot studyPeer reviewedOpen access 

      28 février 2022, DIERICK, Frédéric; Colson, Simon; Orioli, Laura; Vandeleene, Bernard; BARVAUX, Vincent; Detrembleur, Christine; BUISSERET, Fabien, HE Louvain en Hainaut
      Acte de conférence ou de colloque
      Introduction: The variability of human walking has been studied for about twenty years. It appears not to be random but long-term autocorrelated, i.e. on time scales corresponding to several hundreds of gait cycles. It has been shown that the central nervous system (CNS) plays an important role in this variability. Indeed, people with CNS alterations have a different autocorrelation pattern than ...