Results 61 to 70 of about 544,226 (346)

Recent applications of EEG-based brain-computer-interface in the medical field

Military Medical Research
Brain-computer interfaces (BCIs) represent an emerging technology that facilitates direct communication between the brain and external devices. In recent years, numerous review articles have explored various aspects of BCIs, including their fundamental ...
Xiuyun Liu, Wen-long Wang, Miao Liu, Mingyi Chen, Tânia Pereira, Desta Yakob Doda, Yufeng Ke, Shou-Yan Wang, Dong Wen, Xiao-Guang Tong, Wei-Guang Li, Yi Yang, Xiaofei Han, Yu-lin Sun, Xin Song, Cong-Ying Hao, Zi-Hua Zhang, Xin-yang Liu, Chunyang Li, Rui Peng, Xiaoxin Song, Abi Yasi, Mei-Jun Pang, Kuo Zhang, Runnan He, Le Wu, Shugeng Chen, Wen-Jin Chen, Y. Chao, Cheng Hu, Heng Zhang, Min Zhou, Kun Wang, Pengwei Liu, Chen Chen, Xin-Yi Geng, Yun Qin, Dong Gao, En-Ming Song, Long-Long Cheng, Xun Chen, Dong Ming   +41 more
semanticscholar   +1 more source

Interactive Reading Using Low Cost Brain Computer Interfaces [PDF]

, 2017
This work shows the feasibility for document reader user applications using a consumer grade non-invasive BCI headset. Although Brain Computer Interface (BCI) type devices are beginning to aim at the consumer level, the level at which they can actually ...
Hartley, Thomas, Loizides, Fernando, Loizou, Michael, Naughton, Liam, Wilson, Paul, Worrallo, Adam, Yang, Shufan, Zaphiris, Panayiotis   +7 more
core   +3 more sources

Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review [PDF]

, 2020
A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI
Han, Chang-Hee, Hwang, Han-Jeong, Müller, Klaus-Robert   +2 more
core   +1 more source

Brain Neuroplasticity Leveraging Virtual Reality and Brain–Computer Interface Technologies

Italian National Conference on Sensors
This study explores neuroplasticity through the use of virtual reality (VR) and brain–computer interfaces (BCIs). Neuroplasticity is the brain’s ability to reorganize itself by forming new neural connections in response to learning, experience, and ...
Athanasios Drigas, Angeliki Sideraki
semanticscholar   +1 more source

Brain Computer Interface on Track to Home [PDF]

The Scientific World Journal, 2015
The novel BackHome system offers individuals with disabilities a range of useful services available via brain‐computer interfaces (BCIs), to help restore their independence. This is the time such technology is ready to be deployed in the real world, that is, at the target end users’ home.
Felip Miralles, Eloisa Vargiu, Stefan Dauwalder, Marc Solà, Gernot Müller-Putz, Selina C. Wriessnegger, Andreas Pinegger, Andrea Kübler, Sebastian Halder, Ivo Käthner, Suzanne Martin, Jean Daly, Elaine Armstrong, Christoph Guger, Christoph Hintermüller, Hannah Lowish   +15 more
openaire   +4 more sources

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

Is implicit motor imagery a reliable strategy for a brain computer interface? [PDF]

, 2017
Explicit motor imagery (eMI) is a widely used brain computer interface (BCI) paradigm, but not everybody can accomplish this task. Here we propose a BCI based on implicit motor imagery (iMI).
Osuagwu, Bethel A., Vuckovic, Aleksandra, Zych, Magdalena   +2 more
core   +1 more source

Assessing Cognitive Functioning in Children With Brain Tumors: Interaction of Neighborhood Social Determinants of Health and Neurological Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich, Manali Zope, Peter M. Fantozzi, Cassie N. Kline, Iris Paltin, Matthew C. Hocking   +5 more
wiley   +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

The ethics of brain–computer interfaces [PDF]

Nature, 2019
As technologies that integrate the brain with computers become more complex, so too do the ethical issues that surround their use. As technologies that integrate the brain with computers become more complex, so too do the ethical issues that surround their use.
openaire   +2 more sources