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Benefits of nonlinear analysis indices of walking stride interval in the evaluation of neurodegenerative diseases
12 décembre 2020, DIERICK, Frédéric; Chantraine, Frédéric; Vandevoorde, Charlotte; White, Olivier; BUISSERET, Fabien,
- HE Louvain en Hainaut
,
- Article scientifique
Article scientifique
Indices characterising the long-range temporal structure of walking stride interval (SI) variability such as Hurst exponent (H) and fractal dimension (D) may be used in addition to indices measuring the amount of variability like the coefficient of variation (CV). We assess the added value of the former indices in a clinical neurological context. Our aim is to demonstrate that they provide a clinical ...
Des fractales à la marche... il n'y a qu'un pas !
01 décembre 2018, BUISSERET, Fabien; DIERICK, Frédéric; STOFFEL, Jean-François,
- HE Louvain en Hainaut
,
- Article scientifique
Article scientifique
Perceived Usefulness of Telerehabilitation of Musculoskeletal Disorders: A Belgium–France Pilot Study during Second Wave of COVID-19 Pandemic
22 novembre 2021, DIERICK, Frédéric; PIERRE, Amélie; Profeta, Loredana; Telliez, Frédéric; BUISSERET, Fabien,
- CeREF Technique
,
- Article scientifique
Article scientifique
Background: COVID-19 has affected the practice of physiotherapy, and telerehabilitation (TR) may be seen as an alternative model of care if it is accepted by patients and physiotherapists. This study investigates the perceived usefulness of TR and the intention to use it among physiotherapists and patients from Belgium and France concerned with musculoskeletal disorders (MSDs) during the pandemic ...
Head Pitch Angular Velocity Discriminates (Sub-)Acute Neck Pain Patients and Controls Assessed with the DidRen Laser Test
06 avril 2022, BUISSERET, Fabien; HOURY, Martin; Hage, Renaud; DIERICK, Frédéric,
- CeREF Technique
,
- Article scientifique
Article scientifique
Understanding 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 ...
High Specificity of Single Inertial Sensor-Supplemented Timed Up and Go Test for Assessing Fall Risk in Elderly Nursing Home Residents
17 février 2022, BUISSERET, Fabien; Schütz, Gaston; Stoffel, Pierre-Loup; DIERICK, Frédéric,
- CeREF Technique
,
- Article scientifique
Article scientifique
The Timed Up and Go test (TUG) is commonly used to estimate the fall risk in the elderly. Several ways to improve the predictive accuracy of TUG (cameras, multiple sensors, other clinical tests) have already been proposed. Here, we added a single wearable inertial measurement unit (IMU) to capture the residents’ body center-of-mass kinematics in view of improving TUG’s predictive accuracy. The aim ...
Motor strategies and adiabatic invariants: The case of rhythmic motion in parabolic flights
05 août 2021, White, Olivier; DIERICK, Frédéric; Dehouck, Victor; BUISSERET, Fabien; Boulanger, Nicolas,
- CeREF Technique
,
- Article scientifique
Article scientifique
The role of gravity in human motor control is at the same time obvious and difficult to isolate. It can be
assessed by performing experiments in variable gravity. We propose that adiabatic invariant theory may be used
to reveal nearly conserved quantities in human voluntary rhythmic motion, an individual being seen as a complex
time-dependent dynamical system with bounded motion in phase space. ...
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. ...
Wearable Sensors Applied in Movement Analysis
27 octobre 2022, BUISSERET, Fabien; DIERICK, Frédéric; Ven der PErre, Liesbet,
- CeREF Technique
,
- Article scientifique
Article scientifique
Adiabatic invariants drive rhythmic human motion in variable gravity
01 décembre 2020, Boulanger, Nicolas; BUISSERET, Fabien; DIERICK, Frédéric; Dehouck, Victor; White, Olivier,
- CeREF Technique
,
- Article scientifique
Article scientifique
Voluntary human movements are stereotyped. When modeled in the framework of classical mechanics they are expected to minimize cost functions that may include energy, a natural candidate from a physiological point of view also. In time-changing environments, however, energy is no longer conserved—regardless of frictional energy dissipation—and it is therefore not the preferred candidate for any cost ...
Ergonomic Risk Assessment of Developing Musculoskeletal Disorders in Workers with the Microsoft Kinect: TRACK TMS
19 octobre 2018, BUISSERET, Fabien; DIERICK, Frédéric; Hamzaoui, Oussama; JOJCZYK, Laurent,
- CeREF Technique
,
- Article scientifique
Article scientifique