Results 41 to 50 of about 305,708 (349)

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications [PDF]

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI ...
Xiaotong Gu, Zehong Cao, A. Jolfaei, Peng Xu, Dongrui Wu, T. Jung, Chin-Teng Lin   +6 more
semanticscholar   +1 more source

The strathclyde brain computer interface [PDF]

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to control their environment, communicate, and control mobility aids. However, the key to BCI usability rests in being able to extract relevant time varying signals that can be classified into usable commands in real time. This paper reports
Valsan, G., Grychtol, Bartłomiej, Lakany, H., Conway, B.A.   +3 more
openaire   +3 more sources

Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges [PDF]

, 2010
In recent years, new research has brought the field of EEG-based Brain-Computer Interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer ...
R. Rupp, Gernot Mueller-Putz, Cincott, F., Rupp, R., Leeb, R., José del R. Millán, Müller-Putz, Gernot, Mattia, Donatella, Febo Cincotti, Andrea Kubler, D. Mattia, Muller-Putz, G., R. Murray-smith, G. R. Muller Putz, Neuper, C., Klaus R Mueller, del R. Millan, J., R. Murray Smith, M. Tangermann, Millán, José del R., CINCOTTI, FEBO, Giugliemma, Claudio, C. Vidaurre, Robert Leeb, D. Mattia, et al., J. D. R. Millán, Müller, K. R., Giugliemma, C., C. Giugliemma, A. Kubler, Donatella Mattia, F. Cincotti, Neuper, Christa, Müller-Putz, G. R., Kubler, A., Carmen Vidaurre, Mattia, D., C. Neuper, Millán, J. D.R., Tangermann, M., Michael Tangermann, Roderick Murray-Smith, Leeb, Robert, R. Leeb, K. R. Muller, Cincotti, F., Vidaurre, Carmen, Vidaurre, C., G. R. Müller-putz, Muller, K.R., Christa Neuper, Kübler, Andrea, Murray-Smith, R., Rüdiger Rupp, Müller, Klaus Robert, Rupp, Rüdiger, Tangermann, Michael, Murray-Smith, Rod, Claudio Giugliemma   +58 more
core   +1 more source

The Emergence of Functional Ultrasound for Noninvasive Brain–Computer Interface

Research, 2023
A noninvasive brain–computer interface is a central task in the comprehensive analysis and understanding of the brain and is an important challenge in international brain-science research.
Hairong Zheng, Lili Niu, Weibao Qiu, Dong Liang, Xiaojing Long, Guanglin Li, Zhiyuan Liu, Long Meng   +7 more
doaj   +1 more source

A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application

Bioengineering, 2022
Patients with severe CNS injuries struggle primarily with their sensorimotor function and communication with the outside world. There is an urgent need for advanced neural rehabilitation and intelligent interaction technology to provide help for patients
Mostafa Orban, M. Elsamanty, Kai Guo, Senhao Zhang, Hongbo Yang   +4 more
semanticscholar   +1 more source

EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces [PDF]

IEEE journal of biomedical and health informatics
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet essential for decoding brain activities using brain-computer interfaces (BCIs).
Yi Ding, Yong Li, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xin-qiu Zhou, Cuntai Guan   +7 more
semanticscholar   +1 more source

Multiresolution analysis over simple graphs for brain computer interfaces [PDF]

, 2013
Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R, Gan, J Q, Asensio-Cubero, J, Gan, JQ, Palaniappan, Ramaswamy   +4 more
core   +1 more source

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing [PDF]

, 2013
Brain computer interfaces (BCI) provide a new approach to human computer communication, where the control is realised via performing mental tasks such as motor imagery (MI).
Gan, John Q, Asensio-Cubero, Javier, Gan, John Q., Palaniappan, Ramaswamy   +3 more
core   +1 more source

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future [PDF]

, 2017
Brain–computer interfaces (BCI) (also referred to as brain–machine interfaces; BMI) are, by definition, an interface between the human brain and a technological application.
Brent J. Lance, Ricardo Chavarriaga, Anderson, Charles W., Mounia Ziat, Zander, Thorsten O., Iñaki Iturrate, Scherer, Reinhold, Nijholt, Anton, Jane E. Huggins, Zander, Thorsten, Bleichner, Martin, Müller-Putz, Gernot, Giulio Ruffini, Kindermans, Pieter-Jan, Guger, Christoph, Collinger, Jennifer, Chase, Steven, Mattia, Donatella, Disha Gupta, Christoph Guger, Ziat, Mounia, Ruffini, Giulio, Herff, Christian, Chasey, Steven M., Charles W. Anderson, Aureli Soria-Frisch, John Simeral, Simeral, John, Müller-Putz, Gernot R., Aaron Batista, Christian Herff, Denise Taylor, Aarnoutse, Erik J., Chavarriaga, Ricardo, Erik J. Aarnoutse, Lance, Brent, Robinson, Douglas K.R., Pieter-Jan Kindermans, McFarland, Dennis J., Nijholt, An, Jennifer L. Collinger, Donatella Mattia, Martin G. Bleichner, Ramsey, Nick F., Taylor, Denise, An H. Do, Huggins, An, Anderson, Charles, Thorsten O. Zander, Do, Donatella, Do, An, Chase, Steven M., Ramsey, Nick, Reinhold Scherer, Robinson, Douglas K. R., Aarnoutse, Erik, Gupta, Disha, Do, An H., Michael Tangermann, Nijholt, Anton; id_orcid, Dennis J. McFarland, Huggins, Jane E., Bleichner, Martin G., Iturrate, Inaki, McFarland, Dennis, Collinger, Jennifer L., Douglas K. R. Robinson, Nick F. Ramsey, Batista, Aaron, Steven M. Chase, Rüdiger Rupp, Rupp, Rüdiger, Tangermann, Michael, Soria-Frisch, Aureli, Lance, Brent J., Anton Nijholt, Gernot Müller-Putz   +76 more
core   +1 more source

Goal-Directed Processing of Naturalistic Stimuli Modulates Large-Scale Functional Connectivity

Frontiers in Neuroscience, 2019
Humans selectively process external information according to their internal goals. Previous studies have found that cortical activity and interactions between specific cortical areas such as frontal-parietal regions are modulated by behavioral goals ...
Zhenfu Wen, Zhenfu Wen, Tianyou Yu, Tianyou Yu, Xinbin Yang, Yuanqing Li, Yuanqing Li   +6 more
doaj   +1 more source