Journal of NeuroEngineering and Rehabilitation https://doi.org/10.1186/s12984-024-01304-1 (2024) 21:10 Journal of NeuroEngineering and Rehabilitation RESEARCH Open Access Brain computer interface training with motor imagery and functional electrical stimulation for patients with severe upper limb...
The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI) research, as well as on intervention best practices for training and rehabilitation of students with neurodevelopmental disorders. Recent studies indicate that BCI devices have positive impact on students' ...
BEIJING, April 22 (Xinhua) -- A team of Chinese scientists have found during a clinical trial that brain-computer interface (BCI) rehabilitation can improve upper limb motor function in patients with stroke. BCI is a kind of communication system that converts the "ideas" in the brain into i...
Changes in cortical network connectivity with long-term brain-machine interface exposure after chronic amputation Previous studies have shown short-term plasticity in single neurons or local field potentials during brain-machine interface (BMI) training. Here the authors report long-term changes in functi...
Finally, Section 6 proposes some future prospects and theoretically promising levers to improve MI-BCI training by taking into account each of these three high-level factors. Show moreView chapterExplore book The Proposed Graphical User Interface (GUI) Vaibhav Gandhi B.Eng, M.Eng, Ph.D, in ...
As the AI multi-modal model represented by the Sora model enters rapid development, brain-computer interfaces will continue to empower multi-modal related training, and Neuralink is expected to open up a new market for large EEG models.
摘要: Purpose The accuracy of the classification of user intentions is essential for motor imagery (MI)-based brain–computer interface (BCI). Effective and appropriate training关键词: Electroencephpalogram (EEG Brain–computer interface (BCI Motor imagery Visual guidance User training Single-subject ...
For brain–computer interfaces (BCIs), obtaining sufficient training data for algorithms that map neural signals onto actions can be difficult, expensive or even impossible. Here we report the development and use of a generative model—a model that synthesizes a virtually unlimited number of new da...
Brain–computer interface (BCI), an emerging technology that facilitates communication between brain and computer, has attracted a great deal of research in recent years. Researchers provide experimental results demonstrating that BCI can...
Using SSVEP based brain-computer interface to control functional electrical stimulation training system In this work, a functional electrical stimulation (FES) training system using steady-state visual evoked potential (SSVEP) based brain-computer interface (... L Yao,D Zhang,G Huang,... - IEEE ...