Title : ( A Human Interactive Hybrid FES-Robotic System Applicable to Improvement of Foot Drop after Stroke: Case Report of a Person with Chronic Stroke )
Authors: Hamid Reza Kobravi , Yadollah Farzaneh , Mania Sheikh , Alireza Akbarzadeh Tootoonchi ,Abstract
U tilizing the intelligent robots and functional electrical stimulation (FES) for motion recovery, not only after therapeutic surgery but also after suffering a neurological disorder, has attracted researchers’ interests, as, the aforementioned devices can pave the way for conducting the top-down rehabilitation approaches (1). According to the top-down approach, rehabilitation is driven by neural plasticity (1). The essential element of the top-down approach is active participation. In fact, such rehabilitation approaches involve the neural system (top), through active participation, to influence the distal physical level (bottom). In addition, rehabilitation using robotic technology can be intensive, repetitive, and task oriented (2, 3). During the recent years, many researchers have tested the effectiveness of gait training with robotic exoskeleton on clinical outcomes in patients with stroke (4-7). The ability of the wearable exoskeleton systems for longitudinal overground training of walking in hemiparetic patients after stroke has been shown (4-7). Along with the robotic devices, some evidences prove that FES can be a useful methodology in motor recovery after stroke (8). Faster rehabilitation process in hemiplegic gait utilizing the FES combined with other gait training approaches has been reported, but should yet be more assessed (9, 10). Nevertheless, no intriguing evidences have been reported specifically with respect to improving the walking in patients with foot drop due to over ground gait training using the hybrid FES-robotic rehabilitation systems. Therefore, in this case study, we focused on gait improvement of a patient with chronic post stroke right foot drop using a hybrid FES-robotic system
Keywords
, Human Interactive Hybrid FES, Robotic System@article{paperid:1082321,
author = {Hamid Reza Kobravi and Yadollah Farzaneh and Mania Sheikh and Akbarzadeh Tootoonchi, Alireza},
title = {A Human Interactive Hybrid FES-Robotic System Applicable to Improvement of Foot Drop after Stroke: Case Report of a Person with Chronic Stroke},
journal = {Archives of Bone and Joint Surgery},
year = {2020},
month = {September},
issn = {2345-4644},
keywords = {Human Interactive Hybrid FES-Robotic System},
}
%0 Journal Article
%T A Human Interactive Hybrid FES-Robotic System Applicable to Improvement of Foot Drop after Stroke: Case Report of a Person with Chronic Stroke
%A Hamid Reza Kobravi
%A Yadollah Farzaneh
%A Mania Sheikh
%A Akbarzadeh Tootoonchi, Alireza
%J Archives of Bone and Joint Surgery
%@ 2345-4644
%D 2020