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Trends in Brain Computer Interfaces

  1. Content type: Research Article

    The paper presents an investigation into a time-frequency (TF) method for extracting features from the electroencephalogram (EEG) recorded from subjects performing imagination of left- and right-hand movements...

    Authors: Damien Coyle, Girijesh Prasad and T. M. McGinnity

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:861614

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  2. Content type: Research Article

    Exploratory data-driven methods such as unsupervised clustering and independent component analysis (ICA) are considered to be hypothesis-generating procedures and are complementary to the hypothesis-led statis...

    Authors: Anke Meyer-Bäse, Monica K. Hurdal, Oliver Lange and Helge Ritter

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:490821

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  3. Content type: Research Article

    This paper presents the application of an effective EEG-based brain-computer interface design for binary control in a visually elaborate immersive 3D game. The BCI uses the steady-state visual evoked potential...

    Authors: E. C. Lalor, S. P. Kelly, C. Finucane, R. Burke, R. Smith, R. B. Reilly and G. McDarby

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:706906

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  4. Content type: Research Article

    The present study reports on the use of an EEG-based asynchronous (uncued, user-driven) brain-computer interface (BCI) for the control of functional electrical stimulation (FES). By the application of FES, non...

    Authors: Gert Pfurtscheller, Gernot R. Müller-Putz, Jörg Pfurtscheller and Rüdiger Rupp

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:628453

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  5. Content type: Research Article

    We propose the use of nonnegative matrix factorization (NMF) as a model-independent methodology to analyze neural activity. We demonstrate that, using this technique, it is possible to identify local spatiotem...

    Authors: Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, Justin C. Sanchez, Miguel A. L. Nicolelis and Jose C. Principe

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:829802

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  6. Content type: Research Article

    Most EEG-based brain-computer interface (BCI) paradigms come along with specific electrode positions, for example, for a visual-based BCI, electrode positions close to the primary visual cortex are used. For n...

    Authors: Michael Schröder, Thomas Navin Lal, Thilo Hinterberger, Martin Bogdan, N. Jeremy Hill, Niels Birbaumer, Wolfgang Rosenstiel and Bernhard Schölkopf

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:174746

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  7. Content type: Research Article

    Most EEG-based BCI systems make use of well-studied patterns of brain activity. However, those systems involve tasks that indirectly map to simple binary commands such as "yes" or "no" or require many weeks of...

    Authors: David A. Peterson, James N. Knight, Michael J. Kirby, Charles W. Anderson and Michael H. Thaut

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:218613

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  8. Content type: Research Article

    The growing number of traffic accidents in recent years has become a serious concern to society. Accidents caused by driver's drowsiness behind the steering wheel have a high fatality rate because of the marke...

    Authors: Chin-Teng Lin, Ruei-Cheng Wu, Tzyy-Ping Jung, Sheng-Fu Liang and Teng-Yi Huang

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:521368

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  9. Content type: Research Article

    Authors: Jean-Marc Vesin and Touradj Ebrahimi

    Citation: EURASIP Journal on Advances in Signal Processing 2005 2005:845910

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