<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Santé</title>
<link href="https://luck.synhera.be/handle/123456789/111" rel="alternate"/>
<subtitle/>
<id>https://luck.synhera.be/handle/123456789/111</id>
<updated>2026-04-05T21:39:55Z</updated>
<dc:date>2026-04-05T21:39:55Z</dc:date>
<entry>
<title>From brain to motion: harnessing higher-derivative mechanics for neural control</title>
<link href="https://luck.synhera.be/handle/123456789/3086" rel="alternate"/>
<author>
<name>White, Olivier</name>
</author>
<author>
<name>BUISSERET, Fabien</name>
</author>
<author>
<name>DIERICK, Frédéric</name>
</author>
<author>
<name>Boulanger, Nicolas</name>
</author>
<id>https://luck.synhera.be/handle/123456789/3086</id>
<updated>2025-11-26T09:34:21Z</updated>
<published>2025-11-25T00:00:00Z</published>
<summary type="text">From brain to motion: harnessing higher-derivative mechanics for neural control
White, Olivier; BUISSERET, Fabien; DIERICK, Frédéric; Boulanger, Nicolas
Optimal Feedback Control provides a theoretical framework for goal-directed movements, where the nervous system adjusts actions based on sensory feedback. This theory assumes that there exists a cost function that is optimized throughout one's movement. It is natural to assume that mechanical quantities should be involved in cost functions, but this does not imply that the mechanical principles that govern human voluntary movements are necessarily Newtonian. We argue that integrating principles from Lagrangian and Hamiltonian higher-derivative mechanics, i.e. dynamical models relying on a Lagrangian of the form $L\left(\vec x,\dot{\vec x},\ddot{\vec x},\dots,\vec x^{\, (N)}\right)$, with $N\geq 2$ and where $\vec x^{\, (i)}$ denotes the $i^{\rm th}$ time-derivative of the position $\vec x$, provides a more natural framework to study the constraints hidden in human voluntary movement within Optimal Feedback Control theory.
</summary>
<dc:date>2025-11-25T00:00:00Z</dc:date>
</entry>
<entry>
<title>Stress on the stride: How treadmill walking reveals gait variability differences in children, young adults, and seniors?</title>
<link href="https://luck.synhera.be/handle/123456789/3084" rel="alternate"/>
<author>
<name>Buisseret, Fabien</name>
</author>
<author>
<name>Sanso, Aline</name>
</author>
<author>
<name>Sen, Eda nur</name>
</author>
<author>
<name>White, Olivier</name>
</author>
<author>
<name>Boulanger, Nicolas</name>
</author>
<author>
<name>Dierick, Frédéric</name>
</author>
<id>https://luck.synhera.be/handle/123456789/3084</id>
<updated>2025-11-26T09:33:33Z</updated>
<published>2025-09-25T00:00:00Z</published>
<summary type="text">Stress on the stride: How treadmill walking reveals gait variability differences in children, young adults, and seniors?
Buisseret, Fabien; Sanso, Aline; Sen, Eda nur; White, Olivier; Boulanger, Nicolas; Dierick, Frédéric
The assessment of gait variability is a valuable approach for characterizing an individual’s walking pattern over extended time scales. Variability parameters, such as the coefficient of variation, the Hurst exponent, and the Minkowski fractal dimension of the attractor, are influenced by factors like age, dual-task performance, and neurodegenerative conditions. Treadmill walking, a compact and widely used method, enables precise data collection when combined with measurement devices. However, differences between treadmill and overground variability raise questions about its applicability to real-life gait analysis. This study investigates how treadmill walking, as an external stressor, reveals gait variability differences among children, young adults, and seniors by analyzing the center of mass trajectory. Fifteen children (median age: 11 years), 24 young adults (median age: 22.5 years), and 16 seniors (median age: 60 years) participated. Variability was assessed using stride intervals and phase-space metrics. Results indicate that young adults demonstrate “optimal” gait variability, characterized by minimal coefficients of variation and maximal fractal dimension. In contrast, children and seniors exhibit less predictable and less complex gait patterns, with differences in Hurst exponents distinguishing these groups. These findings highlight the nontrivial integration of age, fear of falling, and neurological maturation in gait variability. Practical implications for rehabilitation and clinical assessments are discussed, underscoring the need for protocol standardization and cautious interpretation of treadmill-based variability data.
</summary>
<dc:date>2025-09-25T00:00:00Z</dc:date>
</entry>
<entry>
<title>Combien de temps mettrait Usain Bolt au 100 m sur la Lune ?</title>
<link href="https://luck.synhera.be/handle/123456789/3081" rel="alternate"/>
<author>
<name>Fouchard, Romain</name>
</author>
<author>
<name>BUISSERET, Fabien</name>
</author>
<id>https://luck.synhera.be/handle/123456789/3081</id>
<updated>2025-11-26T09:33:08Z</updated>
<published>2025-09-01T00:00:00Z</published>
<summary type="text">Combien de temps mettrait Usain Bolt au 100 m sur la Lune ?
Fouchard, Romain; BUISSERET, Fabien
Question de Roland Ghelardi, Miramas (13) :  Combien de temps mettrait Usain Bolt au 100 m sur la Lune ? Des calculs de biomécanique permettent de fournir une réponse précise.
</summary>
<dc:date>2025-09-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Evaluating cervical spine mobility and Fitt’s law compliance: The DidRen laser test adapted for virtual reality with age and sex effects</title>
<link href="https://luck.synhera.be/handle/123456789/2807" rel="alternate"/>
<author>
<name>Frédéric, Dierick</name>
</author>
<author>
<name>Hage, Renaud</name>
</author>
<author>
<name>ESTIEVENART, Wesley</name>
</author>
<author>
<name>Bruno, Joey</name>
</author>
<author>
<name>Nocent, Olivier</name>
</author>
<author>
<name>Bertucci, William</name>
</author>
<author>
<name>Buisseret, Fabien</name>
</author>
<id>https://luck.synhera.be/handle/123456789/2807</id>
<updated>2025-03-29T03:32:56Z</updated>
<published>2024-08-28T00:00:00Z</published>
<summary type="text">Evaluating cervical spine mobility and Fitt’s law compliance: The DidRen laser test adapted for virtual reality with age and sex effects
Frédéric, Dierick; Hage, Renaud; ESTIEVENART, Wesley; Bruno, Joey; Nocent, Olivier; Bertucci, William; Buisseret, Fabien
Cervical spine mobility assessment is crucial in rehabilitation to monitor patient progress. This&#13;
study introduces the DidRen VR test, a virtual reality (VR) adaptation of the conventional DidRen&#13;
laser test, aimed at evaluating cervical spine mobility.&#13;
We conducted a cross-sectional study involving fifty healthy participants that underwent the&#13;
DidRen VR test. The satisfaction of Fitts’ law within this VR adaptation was examined and we&#13;
analyzed the effects of age and sex on the sensorimotor performance metrics.&#13;
Our findings confirm that Fitts’ law is satisfied, demonstrating a predictable relationship between&#13;
movement time and the index of difficulty, which suggest that the DidRen VR test can&#13;
simulate real-world conditions. A clear influence of age and sex on performance was observed,&#13;
highlighting significant differences in movement efficiency and accuracy across demographics,&#13;
which may necessitate personalized assessment strategies in clinical rehabilitation practices.&#13;
The DidRen VR test presents an effective tool for assessing cervical spine mobility, validated by&#13;
Fitts’ law. It offers a viable alternative to real-world method, providing precise control over test&#13;
conditions and enhanced engagement for participants. Since age and sex significantly affect&#13;
sensorimotor performance, personalized assessments are essential. Further research is recommended&#13;
to explore the applicability of the DidRen VR test in clinical settings and among patients&#13;
with neck pain.
</summary>
<dc:date>2024-08-28T00:00:00Z</dc:date>
</entry>
</feed>
