Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Christine Azevedo"'
Autor:
Christine Azevedo Coste, Lucie William, Lucas Fonseca, Arthur Hiairrassary, David Andreu, Antoine Geffrier, Jacques Teissier, Charles Fattal, David Guiraud
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Individuals with complete cervical spinal cord injury suffer from a permanent paralysis of upper limbs which prevents them from achieving most of the activities of daily living. We developed a neuroprosthetic solution to restore hand motor f
Externí odkaz:
https://doaj.org/article/578d4fdca6cf4da6b10ac55adea7b306
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-12 (2022)
Abstract Background FES-Cycling is an exciting recreational activity, which allows certain individuals after spinal cord injury or stroke to exercise their paralyzed muscles. The key for a successful application is to activate the right muscles at th
Externí odkaz:
https://doaj.org/article/b494c17b5c9c4309a854cf4586a81e71
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 569-578 (2022)
Objective: Complete tetraplegia can deprive a person of hand function. Assistive technologies may improve autonomy but needs for ergonomic interfaces for the user to pilot these devices still persist. Despite the paralysis of their arms, people with
Externí odkaz:
https://doaj.org/article/68309ededde44f779fce65014757b9e3
This study describes and evaluates i-GRIP, a novel movement intention estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upper limb impairments. Operating within a collaborative grasping control p
Externí odkaz:
http://arxiv.org/abs/2410.06595
Publikováno v:
International Conference on NeuroRehabilitation, Nov 2024, La granja, Spain
This study introduces i-GRIP, an innovative movement goal estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upperlimb impairments. The algorithm operates within a collaborative control paradigm,
Externí odkaz:
http://arxiv.org/abs/2409.16692
Autor:
Martin Schmoll, Ronan Le Guillou, David Lobato Borges, Charles Fattal, Emerson Fachin-Martins, Christine Azevedo Coste
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-14 (2021)
Abstract Background Rapid onset of muscular fatigue is still one of the main issues of functional electrical stimulation (FES). A promising technique, known as distributed stimulation, aims to activate sub-units of a muscle at a lower stimulation fre
Externí odkaz:
https://doaj.org/article/79cd2b6864fc403d97db33d82cb4771b
Autor:
Wafa Tigra, Mélissa Dali, Lucie William, Charles Fattal, Anthony Gélis, Jean-Louis Divoux, Bertrand Coulet, Jacques Teissier, David Guiraud, Christine Azevedo Coste
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 17, Iss 1, Pp 1-12 (2020)
Abstract Background We hypothesized that a selective neural electrical stimulation of radial and median nerves enables the activation of functional movements in the paralyzed hand of individuals with tetraplegia. Compared to previous approaches for w
Externí odkaz:
https://doaj.org/article/5c6bacb0a3a3475697e33325475dca7a
Publikováno v:
Sensors, Vol 22, Iss 23, p 9126 (2022)
This study introduces a novel controller based on a Reinforcement Learning (RL) algorithm for real-time adaptation of the stimulation pattern during FES-cycling. Core to our approach is the introduction of an RL agent that interacts with the cycling
Externí odkaz:
https://doaj.org/article/3d9ed3f080604bcea3992ddd56998cd7
Publikováno v:
Sensors, Vol 22, Iss 5, p 1939 (2022)
Working towards the development of robust motion recognition systems for assistive technology control, the widespread approach has been to use a plethora of, often times, multi-modal sensors. In this paper, we develop single-sensor motion recognition
Externí odkaz:
https://doaj.org/article/e3e8e959e56d4621baf7d86579f9be00
Autor:
David Andreu, Benoît Sijobert, Mickael Toussaint, Charles Fattal, Christine Azevedo-Coste, David Guiraud
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
This paper presents a wireless distributed Functional Electrical Stimulation (FES) architecture. It is based on a set of, potentially heterogeneous, distributed stimulation and measurement units managed by a wearable controller. Through a proof-of-co
Externí odkaz:
https://doaj.org/article/3aa8aa1cd5c04229b0a3ddfcb7ec3c1a