Publication
Gait analysis in children with cerebral palsy: bridging the gap between the laboratory and real life
Publications associées (68)
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Chronic cough disorders are widespread and challenging to assess because they rely on subjective patient questionnaires about cough frequency. Wearable devices running Machine Learning (ML) algorithms are promising for quantifying daily coughs, providing c ...
arXiv2024Investigating the neuromechanical control of healthy gait modulation and pathological gaits observed in cerebral palsy using neuromuscular simulations
Locomotion is based on a sophisticated interaction among the environment, the musculoskeletal system, the spinal cord, and the brain locomotor areas. Quality of life is strongly related to the proper capability of this movement. However, many pathologies, ...
EPFL2023Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
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Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...
BMC2023Immediate effect of ankle exoskeleton on spatiotemporal parameters and center of pressure trajectory after stroke
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Gait impairments is a common condition in post-stroke subjects. We recently presented a wearable ankle exoskeleton called G-Exos, which showed that the device assisted in the ankle's dorsiflexion and inversion/reversion movements. The aim of the current pi ...
New York2023A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings
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Walking activity and gait parameters are considered among the most relevant mobility-related parameters. Currently, gait assessments have been mainly analyzed in laboratory or hospital settings, which only partially reflect usual performance (i.e., real wo ...
SPRINGER HEIDELBERG2023Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors
Mobility impairments are a common symptom of age-related degenerative diseases. Gait features can discriminate those with mobility disorders from healthy individuals, yet phenotyping specific pathologies remains challenging. This study aims to identify if ...
MDPI2022Model order reduction of flow based on a modular geometrical approximation of blood vessels
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We are interested in a reduced order method for the efficient simulation of blood flow in arteries. The blood dynamics is modeled by means of the incompressible Navier–Stokes equations. Our algorithm is based on an approximated domain-decomposition of the ...
2021Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review
Auke Ijspeert, Grégoire Courtine, Joachim von Zitzewitz, Miroslav Caban, Hari Prasanth, Urs Keller
Gait analysis has traditionally been carried out in a laboratory environment using expensive equipment, but, recently, reliable, affordable, and wearable sensors have enabled integration into clinical applications as well as use during activities of daily ...
2021Toward an objective assessment of mobility in clinical and daily activity settings
Quantification of mobility is the key to monitor the progression of mobility disorders as well as the effect of an intervention. Inertial measurement units (IMUs) with dedicated algorithms can quantify postural transitions and gait as the two key aspects o ...
EPFL2021Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity
Kamiar Aminian, Farzin Dadashi, Benoît Mariani, Arash Atrsaei
Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility. While a clinical setting allows the estimation of gait speed under controlled conditions that present functional capacity, gait speed in real-life conditions prov ...
2021