Brain-computer interface controlled robotic gait orthosis
نویسندگان
چکیده
منابع مشابه
Brain-Computer Interface Controlled Robotic Gait Orthosis: A Case Report
An able-bodied subject used walking motor imagery to accurately operate a non-invasive brain-computer interface (BCI) controlled robotic gait orthosis. This finding represents the first successful demonstration of a BCI-controlled lower extremity prosthesis for independent ambulation, with significant implications for restoring ambulation to individuals with spinal cord injury paraplegia.
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In this study, a novel control algorithm, based on a P300-based brain-computer interface (BCI) is fully developed to control a 2-DoF robotic arm. Eight subjects including 5 men and 3 women perform a 2-dimensional target tracking in a simulated environment. Their EEG (Electroencephalography) signals from visual cortex are recorded and P300 components are extracted and evaluated to perform a real...
متن کاملKinematic trajectories while walking within the Lokomat robotic gait-orthosis.
Background One of the most popular robot assisted rehabilitation devices used is the Lokomat. Unfortunately, not much is known about the behaviors exhibited by subjects in this device. The goal of this study was to evaluate the kinematic patterns of individuals walking inside the Lokomat compared to those demonstrated on a treadmill. Methods Six healthy subjects walked on a treadmill and inside...
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The authors have developed a knee-ankle-foot orthosis with a joint unit that controls knee movements using a microcomputer (Intelligent Orthosis). The Intelligent Orthosis was applied to normal subjects and patients, and gait analysis was performed. In the gait cycle, the ratio of the stance phase to the swing phase was less in gait with the knee locked using a knee-ankle-foot orthosis than in ...
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Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducing activity-dependent brain plasticity. The purpose of this study was to investigate the efficacy of an EEG-based MI BCI system coupled with MIT-Manus shoulder-elbow robotic feedback (BCI-Manus) for subjects with chronic stroke with upper-limb hemi...
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ژورنال
عنوان ژورنال: Journal of NeuroEngineering and Rehabilitation
سال: 2013
ISSN: 1743-0003
DOI: 10.1186/1743-0003-10-111