Results 21 to 30 of about 318,665 (281)

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

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

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

Data-driven multivariate and multiscale methods for brain computer interface [PDF]

, 2012
This thesis focuses on the development of data-driven multivariate and multiscale methods for brain computer interface (BCI) systems. The electroencephalogram (EEG), the most convenient means to measure neurophysiological activity due to its ...
Park, Cheolsoo, Park, Cheolsoo
core   +1 more source

An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth

Scientific Reports, 2023
Recent advancements in machine learning and deep learning (DL) based neural decoders have significantly improved decoding capabilities using scalp electroencephalography (EEG). However, the interpretability of DL models remains an under-explored area. In
Akshay Sujatha Ravindran, Jose Contreras-Vidal   +1 more
doaj   +1 more source

Sub-band common spatial pattern (SBCSP) for brain-computer interface [PDF]

, 2007
Brain-computer interface (BCI) is a system to translate humans thoughts into commands. For electroencephalography (EEG) based BCI, motor imagery is considered as one of the most effective ways.
Cuntai, Guan, Dat, Tran Huy, Quadrianto, Novi, Xue, Ping   +3 more
core   +1 more source

Personalized Brain-Computer Interface Models for Motor Rehabilitation

, 2017
We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES).
Grosse-Wentrup, Moritz, Mastakouri, Anastasia-Atalanti, Meyer, Timm, Schölkopf, Bernhard, Weichwald, Sebastian, Özdenizci, Ozan   +5 more
core   +1 more source

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source

Brain Computer Interface Technologies in the Coming Decades

, 2012
As the proliferation of technology dramatically infiltrates all aspects of modern life, in many ways the world is becoming so dynamic and complex that technological capabilities are overwhelming human capabilities to optimally interact with and leverage ...
Kerick, Scott E., Lance, Brent J., McDowell, Kaleb, Oie, Kelvin S., Ries, Anthony J.   +4 more
core   +1 more source