Results 71 to 80 of about 1,869,163 (244)
A survey on robots controlled by motor imagery brain-computer interfaces
A brain-computer interface (BCI) can provide a communication approach conveying brain information to the outside. Especially, the BCIs based on motor imagery play the important role for the brain-controlled robots, such as the rehabilitation robots, the ...
Jincai Zhang, Mei Wang
semanticscholar +1 more source
Effect of motor imagery in children with unilateral cerebral palsy: fMRI study. [PDF]
BACKGROUND: Motor imagery is considered as a promising therapeutic tool for rehabilitation of motor planning problems in patients with cerebral palsy. However motor planning problems may lead to poor motor imagery ability. AIM: The aim of this functional
Eva Chinier +5 more
doaj +1 more source
CTNet: a convolutional transformer network for EEG-based motor imagery classification
Brain-computer interface (BCI) technology bridges the direct communication between the brain and machines, unlocking new possibilities for human interaction and rehabilitation.
Wei Zhao +4 more
semanticscholar +1 more source
Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces
Motor Imagery BCI systems have a high rate of users that are not capable of modulating their brain activity accurately enough to communicate with the system.
Nikki Leeuwis, Sue Yoon, M. Alimardani
semanticscholar +1 more source
BCI-assisted training for upper limb motor rehabilitation: estimation of effects on individual brain connectivity and motor functions [PDF]
The aim of the study is to quantify individual changes in scalp connectivity patterns associated to the affected hand movement in stroke patients after a 1-month training based on BCIsupported motor imagery to improve upper limb motor recovery.
D. Mattia +5 more
core +1 more source
This study focuses on changes in implicit motor imagery during advanced aging and these changes’ co-occurrences with physical motor deficits. We administered a mental rotation (MR) task with letters, hands, and feet to 28 young adults (20–27 years) and ...
Hiroyuki Muto +4 more
doaj +1 more source
An EEG motor imagery dataset for brain computer interface in acute stroke patients
The brain-computer interface (BCI) is a technology that involves direct communication with parts of the brain and has evolved rapidly in recent years; it has begun to be used in clinical practice, such as for patient rehabilitation.
Haijie Liu +11 more
semanticscholar +1 more source
In recent years, deep learning has emerged as a powerful tool for developing Brain-Computer Interface (BCI) systems. However, for deep learning models trained entirely on the data from a specific individual, the performance increase has only been ...
Kaishuo Zhang +3 more
semanticscholar +1 more source
Learning motor actions via imagery—perceptual or motor learning?
It is well accepted that repeatedly imagining oneself acting without any overt behavior can lead to learning. The prominent theory accounting for why imagery practice is effective, motor simulation theory, posits that imagined action and overt action are
Cornelia Frank +3 more
semanticscholar +1 more source
Over the last few decades, motor imagery has attracted the attention of researchers as a prototypical example of 'embodied cognition' and also as a basis for neuro-rehabilitation and brain-machine interfaces. The current definition of motor imagery is widely accepted, but it is important to note that various abilities rather than a single cognitive ...
openaire +2 more sources

