Results 321 to 330 of about 2,082,534 (353)

Improved motor imagery training for subject's self-modulation in EEG-based brain-computer interface. [PDF]

Front Hum Neurosci
Xu Y, Jie L, Jian W, Yi W, Yin H, Peng Y.   +5 more
europepmc   +1 more source

Enhancing Brain-Computer Interface Performance by Incorporating Brain-to-Brain Coupling. [PDF]

Cyborg Bionic Syst
Jia T, Sun J, McGeady C, Ji L, Li C.
europepmc   +1 more source

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Brain–Computer Interfaces for Treatment of Focal Dystonia

Movement Disorders, 2022
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 during an asymptomatic task (target signature), which is expected to ...
Kristina Simonyan, Stefan K. Ehrlich, Richard Andersen, Jonathan Brumberg, Frank Guenther, Mark Hallett, Matthew A. Howard, José del R. Millán, Richard B. Reilly, Tanja Schultz, Davide Valeriani   +10 more
openaire   +3 more sources

Flexible Electrodes for Brain–Computer Interface System

Advances in Materials, 2023
Brain–computer interface (BCI) has been the subject of extensive research recently. Governments and companies have substantially invested in relevant research and applications.
Junjie Wang, Tengjiao Wang, Haoyan Liu, Kun Wang, Kumi Moses, Zhuo Feng, Peng Li, Wei Huang   +7 more
semanticscholar   +1 more source

Bi-directional channel modeling for implantable UHF–RFID transceivers in brain–computer interface applications

Future Generation Computer Systems, 2018
Abstract Bi-directional Brain–Computer Interfacing (BBCI) faces major challenges due to, in part, the difficulty of transmission of Electro-corticographical (ECoG) signals from the brain to external devices. For human subjects, safety and convenience would be greatly increased if we could replace the wired interface between the electrodes and the ...
Shams Al Ajrawi, Hayden Bialek, Mahasweta Sarkar, Ramesh Rao, Syed Hassan Ahmed   +4 more
openaire   +3 more sources

A comprehensive review of EEG-based brain–computer interface paradigms

Journal of Neural Engineering, 2019
Advances in brain science and computer technology in the past decade have led to exciting developments in brain–computer interface (BCI), thereby making BCI a top research area in applied science.
R. Abiri, Soheil Borhani, E. Sellers, Yang Jiang, Xiaopeng Zhao   +4 more
semanticscholar   +1 more source

Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke

IEEE Transactions on Biomedical Engineering, 2020
Objective: This randomized controlled feasibility study investigates the ability for clinical application of the Brain-Computer Interface-based Soft Robotic Glove (BCI-SRG) incorporating activities of daily living (ADL)-oriented tasks for stroke ...
Nicholas Cheng, K. Phua, H. Lai, P. K. Tam, K. Tang, K. Cheng, R. C. Yeow, K. Ang, Cuntai Guan, J. Lim   +9 more
semanticscholar   +1 more source

Artificial Intelligence based Human Attention Detection through Brain Computer Interface for Health Care Monitoring

2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 2021
Attention as a key aspect of brain activity is one of the most usable area of brain study. It has a significant impact on the brain activities such as learning process and critical activities like driving vehicles.
Ravi Kumar, K. Srinivas, Anudeep Peddi, P. Vardhini   +3 more
semanticscholar   +1 more source