Year: 2011
Type: review
Abstract: This paper reviews several critical issues facing signal processing for brain-computer interfaces (BCIs) and suggests several recent approaches that should be further examined. The topics were selected based on discussions held during the 4th International BCI Meeting at a workshop organized to review and evaluate the current state of, and issues relevant to, feature extraction and translation of field potentials for BCIs. The topics presented in this paper include the relationship between electroencephalography and electrocorticography, novel features for performance prediction, time-embedded signal representations, phase information, signal non-stationarity, and unsupervised adaptation.
Source: Journal of Neural Engineering
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: bronze
Funders: National Science Foundation, National Aeronautics and Space Administration, Invest Northern Ireland, Bundesministerium für Bildung und Forschung, National Institutes of Health, Engineering and Physical Sciences Research Council, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Awards: Verbundprojekt Bernstein Partner: Bewegungsassoziierte Aktivierung, Teilprojekt 2: Gehirn- und Maschinenlernen, G3959310744, Geometric Pattern Analysis and Mental Task Design for a Brain-Computer Interface, General Purpose Brain-Computer Interface (BCI) System, HCC: Medium: RUI: Control of a Robotic Manipulator via a Brain-Computer Interface, G8521930080, Intelligent Pre- and Post-Processing Algorithms for Autonomous Multiclass Brain-Computer Interfaces, Verbundprojekt: Bernstein Fokus Neurotechnologie - Hybrid Brain - Teilprojekte A1-A5, B1-B5, C4-C6
OpenAlex ID: W2167931402