Brain-Computer Interface in Stroke Rehabilitation
نویسندگان
چکیده
منابع مشابه
Brain-Computer Interface in Stroke Rehabilitation
Recent advances in computer science enabled people with severe motor disabilities to use brain-computer interfaces (BCI) for communication, control, and even to restore their motor disabilities. This paper reviews the most recent works of BCI in stroke rehabilitation with a focus on methodology that reported on data collected from stroke patients and clinical studies that reported on the motor ...
متن کاملCharacterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technology
The relationship of the structural integrity of white matter tracts and cortical activity to motor functional outcomes in stroke patients is of particular interest in understanding mechanisms of brain structural and functional changes while recovering from stroke. This study aims to probe these underlying mechanisms using diffusion tensor imaging (DTI) and fMRI measures. We examined the structu...
متن کاملMovement-Related Desynchronization in EEG-based Brain-Computer Interface applications for stroke motor rehabilitation
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متن کاملBrain-machine interface in chronic stroke rehabilitation: a controlled study.
OBJECTIVE Chronic stroke patients with severe hand weakness respond poorly to rehabilitation efforts. Here, we evaluated efficacy of daily brain-machine interface (BMI) training to increase the hypothesized beneficial effects of physiotherapy alone in patients with severe paresis in a double-blind sham-controlled design proof of concept study. METHODS Thirty-two chronic stroke patients with s...
متن کاملA Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.
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 Computing Science and Engineering
سال: 2013
ISSN: 1976-4677
DOI: 10.5626/jcse.2013.7.2.139