Results 31 to 40 of about 2,171,414 (328)

Concept of software interface for BCI systems [PDF]

, 2016
Brain Computer Interface (BCI) technology is intended to control external system by brain activity. One of main part of such system is software interface, which carries about clear communication between brain and either computer or additional devices ...
Švejda, Jaromír, Žák, Roman, Jašek, Roman   +2 more
core   +3 more sources

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

Frontiers in Neurorobotics, 2020
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices through the utilization of brain waves. It is worth noting that the application of BCI is not limited to medical applications, and hence, the research in this ...
M. Rashid, N. Sulaiman, A. P. Majeed, R. Musa, A. Nasir, Bifta Sama Bari, S. Khatun   +6 more
semanticscholar   +1 more source

Long and Short Durations of Binaural Beats Differently Affect Relaxation: A Study of HRV and BRUMS

IEEE Access, 2023
Objective: We aimed to identify parasympathetic and emotional alterations, as indicated by the heart rate variability (HRV) and Brunel mood scale (BRUMS), after long-term exposure to theta binaural beats (BB) for 10 minutes daily.
Mondnath Chockboondee, Tirapoot Jatupornpoonsub, Krisna Lertsukprasert, Yodchanan Wongsawat   +3 more
doaj   +1 more source

An EEG-based attention recognition method: fusion of time domain, frequency domain, and non-linear dynamics features

Frontiers in Neuroscience, 2023
IntroductionAttention is a complex cognitive function of human brain that plays a vital role in our daily lives. Electroencephalogram (EEG) is used to measure and analyze attention due to its high temporal resolution.
Di Chen, Di Chen, Haiyun Huang, Haiyun Huang, Xiaoyu Bao, Xiaoyu Bao, Jiahui Pan, Jiahui Pan, Yuanqing Li, Yuanqing Li   +9 more
doaj   +1 more source

A note on brain actuated spelling with the Berlin brain-computer interface [PDF]

, 2007
Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain.
A. Kübler, B. Blankertz, B. Blankertz, B. Blankertz, C. Neuper, D.J. Krusienski, D.J. Ward, J. Cleary, J. Williamson, J.R. Wolpaw, J.R. Wolpaw, K.-R. Müller, L.A. Farwell, L.R. Hochberg, M.D. Dunlop, N. Birbaumer, R. Scherer, T. Bell, T. Elbert   +18 more
core   +5 more sources

Theta–gamma coupling as a cortical biomarker of brain–computer interface-mediated motor recovery in chronic stroke

Brain Communications, 2022
Chronic stroke patients with upper-limb motor disabilities are now beginning to see treatment options that were not previously available. To date, the two options recently approved by the United States Food and Drug Administration include vagus nerve ...
N. Rustamov, Joseph B. Humphries, A. Carter, E. Leuthardt   +3 more
semanticscholar   +1 more source

The Influence of Different EEG References on Scalp EEG Functional Network Analysis During Hand Movement Tasks

Frontiers in Human Neuroscience, 2020
Although scalp EEG functional networks have been applied to the study of motor tasks using electroencephalography (EEG), the selection of a suitable reference electrode has not been sufficiently researched.
Lipeng Zhang, Lipeng Zhang, Peng Wang, Peng Wang, Rui Zhang, Rui Zhang, Mingming Chen, Mingming Chen, Li Shi, Li Shi, Jinfeng Gao, Jinfeng Gao, Yuxia Hu, Yuxia Hu   +13 more
doaj   +1 more source

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Scientific Reports, 2017
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a
Trieu Phat Luu, Sho Nakagome, Yongtian He, Jose L. Contreras-Vidal   +3 more
doaj   +1 more source

Differences in Intersubject Early Readiness Potentials Between Voluntary and Instructed Actions

Frontiers in Psychology, 2020
Readiness potential (RP) is a slow negative electroencephalogram (EEG) potential prior to voluntary action and was first described by Kornhuber and Deecke (1965).
Lipeng Zhang, Lipeng Zhang, Rui Zhang, Rui Zhang, Dezhong Yao, Dezhong Yao, Li Shi, Li Shi, Jinfeng Gao, Jinfeng Gao, Yuxia Hu, Yuxia Hu   +11 more
doaj   +1 more source

Protecting privacy of users in brain-computer interface applications [PDF]

, 2019
Machine learning (ML) is revolutionizing research and industry. Many ML applications rely on the use of large amounts of personal data for training and inference.
Agarwal, Anisha, De Cock, Martine, Dowsley, Rafael, Lin, Chin-Teng, McKinney, Nicholas D, Nascimento, Anderson CA, Wu, Dongrui   +6 more
core   +2 more sources