Brain–Computer Interfaces for Treatment of Focal Dystonia
Sign Up to like & getrecommendations! Published in 2022 at "Movement Disorders"
DOI: 10.1002/mds.29178
Abstract: Task-specificity in isolated focal dystonias is a powerful feature that may successfully be targeted with therapeutic brain-computer interfaces. While performing a symptomatic task, the patient actively modulates momentary brain activity (disorder signature) to match activity… read more here.
Keywords: brain computer; brain; interfaces treatment; treatment focal ... See more keywords
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
Sign Up to like & getrecommendations! Published in 2018 at "Scientific Data"
DOI: 10.1038/sdata.2018.211
Abstract: Recent advancements in brain computer interfaces (BCI) have demonstrated control of robotic systems by mental processes alone. Together with invasive BCI, electroencephalographic (EEG) BCI represent an important direction in the development of BCI systems. In… read more here.
Keywords: computer interfaces; dataset; bci; eeg bci ... See more keywords
Brain-computer interfaces and personhood: interdisciplinary deliberations on neural technology.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/ab39cd
Abstract: Scientists, engineers, and healthcare professionals are currently developing a variety of new devices under the category of brain-computer interfaces (BCIs). Current and future applications are both medical/assistive (e.g., for communication) and non-medical (e.g., for gaming).… read more here.
Keywords: computer interfaces; interfaces personhood; brain computer; personhood interdisciplinary ... See more keywords
Evaluating the clinical benefit of brain-computer interfaces for control of a personal computer
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac60ca
Abstract: Brain-computer interfaces (BCIs) enabling the control of a personal computer could provide myriad benefits to individuals with disabilities including paralysis. However, to realize this potential, these BCIs must gain regulatory approval and be made clinically… read more here.
Keywords: control personal; brain computer; personal computer; computer interfaces ... See more keywords
IENet: a robust convolutional neural network for EEG based brain-computer interfaces
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac7257
Abstract: Objective. Brain-computer interfaces (BCIs) based on electroencephalogram (EEG) develop into novel application areas with more complex scenarios, which put forward higher requirements for the robustness of EEG signal processing algorithms. Deep learning can automatically extract… read more here.
Keywords: neural network; ienet; brain computer; bci paradigms ... See more keywords
Validation of a non-invasive, real-time, human-in-the-loop model of intracortical brain-computer interfaces
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac97c3
Abstract: Objective. Despite the tremendous promise of invasive brain-computer interfaces (iBCIs), the associated study costs, risks, and ethical considerations limit the opportunity to develop and test the algorithms that decode neural activity into a user’s intentions.… read more here.
Keywords: loop; brain computer; real time; model ... See more keywords
A static paradigm based on illusion-induced VEP for brain-computer interfaces
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acbdc0
Abstract: Objective. Visual evoked potentials (VEPs) have been commonly applied in brain-computer interfaces (BCIs) due to their satisfactory classification performance recently. However, most existing methods with flickering or oscillating stimuli will induce visual fatigue under long-term… read more here.
Keywords: illusion; brain computer; based illusion; computer interfaces ... See more keywords
Automated selection of brain regions for real-time fMRI brain-computer interfaces.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of neural engineering"
DOI: 10.1088/1741-2560/14/1/016004
Abstract: OBJECTIVE Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site expert supervision are required for ROI… read more here.
Keywords: fmri; real time; computer interfaces; brain ... See more keywords
Employment of Domain Adaptation Techniques in SSVEP-Based Brain–Computer Interfaces
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3266306
Abstract: This work addresses the employment of Machine Learning (ML) and Domain Adaptation (DA) in the framework of Brain-Computer Interfaces (BCIs) based on Steady-State Visually Evoked Potentials (SSVEPs). Currently, all the state-of-the-art classification strategies do not… read more here.
Keywords: domain adaptation; brain computer; brain; employment ... See more keywords
The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2020.3047836
Abstract: Combing brain-computer interfaces (BCI) and virtual reality (VR) is a novel technique in the field of medical rehabilitation and game entertainment. However, the limitations of BCI such as a limited number of action commands and… read more here.
Keywords: multi modal; bci; computer interfaces; virtual reality ... See more keywords
Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain–Computer Interfaces
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2021.3130059
Abstract: Brain–computer interfaces (BCIs) are neural prosthetics that enable closed-loop electrophysiology procedures. These devices are currently used in fundamental neurophysiology research, and they are moving toward clinical viability for neural rehabilitation. State-of-the-art BCI experiments have often… read more here.
Keywords: computer interfaces; wireless power; wireless; power ... See more keywords