Journal ArticleDOI
The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
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TLDR
It is proposed that the key to quick efficiency in the BBCI system is its flexibility due to complex but physiologically meaningful features and its adaptivity which respects the enormous inter-subject variability.About:
This article is published in NeuroImage.The article was published on 2007-08-15. It has received 865 citations till now. The article focuses on the topics: Brain–computer interface.read more
Citations
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Journal ArticleDOI
The Influence of Smoothing Filtering Methods on the Performance of an EEG-Based Brain–Computer Interface
TL;DR: In this article , the authors compared three smoothing filters (median, Savitzky-Golay, and regularization) in the analysis of EEG data and found that smoothing EEG by regularization increased the coefficient of determination.
CereBrAl infrAred o ximetry in intrACrAniAl hemorrhAge
TL;DR: There have been described prospects for further development of cerebral oximetry as a part of many-component monitoring in craniocerebral injury and hemorrhagic strokes and some systems for oxygen status determination have been presented.
Proceedings ArticleDOI
Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification
TL;DR: In this paper , an approach of Independent Vector Analysis (IVA) is proposed as a feature extraction step for Brain-Computer Interfaces, focused on the Motor Imagery (MI) paradigm.
Journal ArticleDOI
Scatter-based common spatial patterns - a unified spatial filtering framework
TL;DR: In this paper , the authors proposed a spatial filtering framework called scaCSP based on the scatter matrices of spatial covariances of EEG signals, which works generally in both binary and multi-class problems whereas CSP can be cast into our framework as a special case when only the range space of the between-class scatter matrix is used in binary cases.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
Journal ArticleDOI
Brain-computer interfaces for communication and control.
Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
Journal ArticleDOI
Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.