Results 11 to 20 of about 44,055 (290)
Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors. [PDF]
Adv Sci (Weinh)Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Liu DH +4 more
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2020 International BCI Competition
, 2022 2020 International BCI competition ...
BCI Competition Committee
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Feature Analysis for Motor Imagery EEG Signals with Different Classification Schemes
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2023 A Brain-Computer Interface (BCI) is a communication system that decodes and transfers information directly from the brain to external devices. The electroencephalogram (EEG) technique is used to measure the electrical signals corresponding to commands ...
Ismail Sarıtas, Esra Kaya
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A comprehensive study of EEG-based control of artificial arms
Vojnotehnički Glasnik, 2023 Introduction/purpose: The electroencephalography (EEG) signal has a great impact on the development of prosthetic arm control technology. EEG signals are used as the main tool in functional investigations of human motion.
Ihab Abdulrahman Satam
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Stem Cell Reports, 2019 Summary: Exogenous cues involved in the regulation of the initial steps of lymphatic endothelial development remain largely unknown. We have used an in vitro model based on the co-culture of vascular precursors derived from mouse embryonic stem cell (ESC)
Mariela Subileau +6 more
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International Journal of Mathematics and Mathematical Sciences, 2012 We associate a graph to any subsetYof aBCI-algebraXand denote it byG(Y). Then we find the set of all connected components ofG(X)and verify the relation betweenXandG(X), whenXis commutativeBCI-algebra orG(X)is complete graph orn-star graph. Finally, we attempt to investigate the relation between some operations on graph and some operations onBCI ...
Omid Zahiri, Rajab Ali Borzooei
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Asynchronous, parallel on-line classification of P300 and ERD for an efficient hybrid BCI [PDF]
, 2011 Riechmann H, Hachmeister N, Ritter H, Finke A. Asynchronous, parallel on-line classification of P300 and ERD for an efficient hybrid BCI. In: Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on.
Hachmeister, Nils ; https://orcid.org/ +3 more
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European Journal of Translational Myology, 2016 Functional Electrical Stimulation (FES) provides a neuroprosthetic interface to non-recovered muscle groups by stimulating the affected region of the human body.
Saugat Bhattacharyya +2 more
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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 +58 more
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A Class of BCI-Algebra and Quasi-Hyper BCI-Algebra [PDF]
Axioms, 2022 In this paper, we study the connection between generalized quasi-left alter BCI-algebra and commutative Clifford semigroup by introducing the concept of an adjoint semigroup. We introduce QM-BCI algebra, in which every element is a quasi-minimal element, and prove that each QM-BCI algebra is equivalent to generalized quasi-left alter BCI-algebra. Then,
Xiaohong Zhang 0001, Yudan Du
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