Brain-Computer Interfaces
Bernhard Graimann,Gert Pfurtscheller,Brendan Z. Allison +2 more
- 01 Jan 2010
- Iss: 1
440
TL;DR: Brain-computer interfaces , Brain-computer interface , کتابخانه مرکزی دانشگاه علوم پزشاشکی اتهران.
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Abstract: Brain-computer interfaces , Brain-computer interfaces , کتابخانه مرکزی دانشگاه علوم پزشکی تهران
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Citations
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern,Amelia J. Solon,Nicholas R. Waytowich,Stephen M. Gordon,Chou P. Hung,Brent J. Lance +5 more
TL;DR: In this paper, a compact convolutional network for EEG-based brain computer interfaces (BCI) is proposed, which can learn a wide variety of interpretable features over a range of BCI tasks.
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A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update
Fabien Lotte,Laurent Bougrain,Andrzej Cichocki,Andrzej Cichocki,Maureen Clerc,Marco Congedo,Alain Rakotomamonjy,Florian Yger +7 more
TL;DR: A comprehensive overview of the modern classification algorithms used in EEG-based BCIs is provided, the principles of these methods and guidelines on when and how to use them are presented, and a number of challenges to further advance EEG classification in BCI are identified.
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Brain Computer Interfaces, a Review
TL;DR: The state-of-the-art of BCIs are reviewed, looking at the different steps that form a standard BCI: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and the control interface.
Openvibe: An open-source software platform to design, test, and use brain--computer interfaces in real and virtual environments
Yann Renard,Fabien Lotte,Guillaume Gibert,Marco Congedo,Emmanuel Maby,Vincent Delannoy,Olivier F. Bertrand,Anatole Lécuyer +7 more
TL;DR: The OpenViBE software platform is described which enables researchers to design, test, and use braincomputer interfaces (BCIs) and its suitability for the design of VR applications controlled with a BCI is shown.
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TL;DR: This multiple systematic review focuses both on standard treatment methods and on innovating rehabilitation techniques used to promote upper extremity motor function in stroke patients to achieve the maximal motor function recovery for each patient.