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Wearable Sensors Applied in Movement Analysis
30 novembre 2022, BUISSERET, Fabien; DIERICK, Frédéric; van der Perre, Liesbet,
- CeREF Technique
,
- Livre/Ouvrage ou monographie
Livre/Ouvrage ou monographie
Recent advances in electronics have led to sensors whose sizes and weights are such that they can be placed on living systems without impairing their natural motion and habits. They may be worn on the body as accessories or as part of the clothing and enable personalized mobile information processing. Wearable sensors open the way for a nonintrusive and continuous monitoring of body orientation, ...
ZN-balls: Solitons from ZN-symmetric scalar field theory
Article scientifique
We discuss the conditions under which static, finite-energy, configurations of a complex scalar field ϕ
with constant phase and spherically-symmetric norm exist in a potential of the form V(ϕ*ϕ, ϕ^N, ϕ^*N)
with N ∈ N and N ≥ 2, i.e., a potential with a ZN-symmetry. Such configurations are called ZN-balls. We
build explicit solutions in (3 + 1)-dimensions from a model mimicking effective field ...
Wearable Sensors Applied in Movement Analysis
27 octobre 2022, BUISSERET, Fabien; DIERICK, Frédéric; Ven der PErre, Liesbet,
- CeREF Technique
,
- Article scientifique
Article scientifique
Adiabatic Invariant of Center-of-Mass Motion during Walking as a Dynamical Stability Constraint on Stride Interval Variability and Predictability
09 septembre 2022, BUISSERET, Fabien; Dehouck, Victor; Boulanger, Nicolas; HENRY, Guillaume; Piccinin, Florence; White, Olivier; DIERICK, Frédéric,
- HE Louvain en Hainaut
,
- Article scientifique
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 ...
Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test
03 juillet 2022, Thiry, Paul; HOURY, Martin; PHILIPPE, Laurent; Nocent, Olivier; BUISSERET, Fabien; DIERICK, Frédéric; Slama, Rim; Bertucci, William; Thévenon, André; Simoneau, Emilie,
- CeREF Technique
,
- Article scientifique
Article scientifique
Nowadays, 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. ...