Results 41 to 50 of about 45,362 (332)

Development and Assist-As-Needed Control of an End-Effector Upper Limb Rehabilitation Robot

, 2020
Robot-assisted rehabilitation therapy has been proven to effectively improve upper limb motor function and daily behavior of patients with motor dysfunction, and the demand has increased at every stage of the rehabilitation recovery.
Leigang Zhang, Shuai Guo, Qing Sun
semanticscholar   +1 more source

Computational neurorehabilitation: modeling plasticity and learning to predict recovery [PDF]

, 2016
Despite progress in using computational approaches to inform medicine and neuroscience in the last 30 years, there have been few attempts to model the mechanisms underlying sensorimotor rehabilitation.
Burdet, E, Casadio, M, Krakauer, JW, Kwakkel, G, Lang, CE, Reinkensmeyer, DJ, Schweighofer, N, Swinnen, SP, Ward, NS   +8 more
core   +5 more sources

Dual-Modal Hybrid Control for an Upper-Limb Rehabilitation Robot

Machines, 2022
The recovery treatment of motor dysfunction plays a crucial role in rehabilitation therapy. Rehabilitation robots are partially or fully replacing therapists in assisting patients in exercise by advantage of robot technologies.
Guang Feng, Jiaji Zhang, Guokun Zuo, Maoqin Li, Dexin Jiang, Lei Yang   +5 more
semanticscholar   +1 more source

Bilateral Assessment of Functional Tasks for Robot-assisted Therapy Applications [PDF]

, 2011
This article presents a novel evaluation system along with methods to evaluate bilateral coordination of arm function on activities of daily living tasks before and after robot-assisted therapy. An affordable bilateral assessment system (BiAS) consisting
AC Lo, AR Fugl-Meyer, B Rohrer, B Steenbergen, C Wu, CG Burgar, DE Nathan, DG Kamper, DJ Serrien, DJ Wilson, Elaine Strachota, G Kwakkel, GN Lewis, Guennady Tchekanov, J Cauraugh, J Whitall, Jeff Melbye, JJ Craig, John McGuire, JRM Spencer, KC Stewart, KJ Wisneski, L Dipietro, LG Portney, MC Cirstea, MF Levin, Michelle J. Johnson, ML Harris-Love, MV Radomski, O Kazennikov, Ping Bai, PS Lum, PW Duncan, R Braddom, R Loureiro, Sarah Wang, SC Cramer, WS McCombe, WS McCombe, Y Hseih, YC Hung   +40 more
core   +2 more sources

Design and Analysis of Upper Limb Rehabilitation Robots with Fully-actuated Shoulder Joints

Jixie chuandong, 2022
Aiming at the problem of rehabilitation training for hemiplegic patients with upper limb motor dysfunction caused by stroke, a fully-actuated five degrees of freedom upper limb exoskeleton rehabilitation robot for shoulder joint is designed.
Wang Zhanli, Duan Zhifeng, Li Shuang, Gao Moyao, Pang Zaixiang   +4 more
doaj  

Research progress on upper limb rehabilitation robots for stroke

Chinese Journal of Contemporary Neurology and Neurosurgery, 2023
With the development of the combination of medicine and engineering and the improvement of clinical rehabilitation demand, intelligent upper limb rehabilitation robots can provide stroke patients with high intensity and repetition of active ...
WANG Zhuang, WANG Yi⁃zhao , QIU Shi⁃yin, LIU Yuan, SHI Wei , WU Jia⁃ling, MING Dong   +6 more
doaj   +1 more source

Rehabilitative devices for a top-down approach [PDF]

, 2019
In recent years, neurorehabilitation has moved from a "bottom-up" to a "top down" approach. This change has also involved the technological devices developed for motor and cognitive rehabilitation.
de Bartolo, Daniela, Di Iulio, Fulvia, Ghanbari Ghooshchy, Sheida, Iosa, Marco, Morone, Giovanni, Paolucci, Stefano, Spitoni, Grazia Fernanda, Zoccolotti, Pierluigi   +7 more
core   +1 more source

Detection of intention level in response to task difficulty from EEG signals [PDF]

, 2013
We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Cetin, Mujdat, Hocaoglu, Elif, Hocaoğlu, Elif, Koyas, Ela, Koyaş, Ela, Patoglu, Volkan, Patoğlu, Volkan, Çetin, Müjdat   +7 more
core   +1 more source

Adaptive neural tracking control for upper limb rehabilitation robot with output constraints

IET Cyber-systems and Robotics, 2023
The authors investigate the trajectory tracking control problem of an upper limb rehabilitation robot system with unknown dynamics. To address the system's uncertainties and improve the tracking accuracy of the rehabilitation robot, an adaptive neural ...
Zibin Zhang, Pengbo Cui, Aimin An
doaj   +1 more source

Baseline robot-measured kinematic metrics predict discharge rehabilitation outcomes in individuals with subacute stroke

Frontiers in Bioengineering and Biotechnology, 2022
Background: The literature on upper limb robot-assisted therapy showed that robot-measured metrics can simultaneously predict registered clinical outcomes. However, only a limited number of studies correlated pre-treatment kinematics with discharge motor
Michela Goffredo, Stefania Proietti, Stefania Proietti, Sanaz Pournajaf, Daniele Galafate, Matteo Cioeta, Domenica Le Pera, Federico Posteraro, Marco Franceschini, Marco Franceschini   +9 more
doaj   +1 more source