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BCIs in the Laboratory and at Home: The Wadsworth Research Program

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Brain-Computer Interfaces

Part of the book series: The Frontiers Collection ((FRONTCOLL))

Abstract

Many people with severe motor disabilities lack the muscle control that would allow them to rely on conventional methods of augmentative communication and control. Numerous studies over the past two decades have indicated that scalp-recorded electroencephalographic (EEG) activity can be the basis for non-muscular communication and control systems, commonly called brain–computer interfaces (BCIs) [55]. EEG-based BCI systems measure specific features of EEG activity and translate these features into device commands. The most commonly used features are rhythms produced by the sensorimotor cortex [38, 55, 56, 59], slow cortical potentials [4, 5, 23], and the P300 event-related potential [12, 17, 46]. Systems based on sensorimotor rhythms or slow cortical potentials use oscillations or transient signals that are spontaneous in the sense that they are not dependent on specific sensory events. Systems based on the P300 response use transient signals in the EEG that are elicited by specific stimuli.

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Acknowledgements

This work was supported in part by grants from the National Institutes of Health (HD30146, EB00856, EB006356), The James S. McDonnell Foundation, The Altran Foundation, The ALS Hope Foundation, The NEC Foundation, and The Brain Communication Foundation.

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Authors and Affiliations

  1. Department of Psychology, East Tennessee State University, Box 70649, Johnson City, TN, 37641, USA

    Eric W. Sellers

  2. Laboratory of Neural Injury and Repair, New York State Department of Health, Wadsworth Center, Albany, NY, 12201-0509, USA

    Eric W. Sellers, Dennis J. McFarland & Theresa M. Vaughan

  3. New York State Department of Health and School of Public Health, Wadsworth Center, State University of New York at Albany, New York, NY, 12201, USA

    Jonathan R. Wolpaw

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  1. Eric W. Sellers
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  2. Dennis J. McFarland
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  4. Jonathan R. Wolpaw
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Correspondence to Eric W. Sellers .

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Editors and Affiliations

  1. Otto Bock HealthCare GmbH, Max-Näder-Str. 15, Duderstadt, 37115, Germany

    Bernhard Graimann

  2. Institut für Semantische Datenanalyse/, Knowledge Discovery, Technische Universität Graz, Krenngasse 37, Graz, 8010, Austria

    Gert Pfurtscheller

  3. Inst. Semantische Datenanalyse, Brain-Computer Interface Labor (BCI), TU Graz, Krenngasse 37/III, Graz, 8010, Austria

    Brendan Allison

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Sellers, E.W., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R. (2009). BCIs in the Laboratory and at Home: The Wadsworth Research Program. In: Graimann, B., Pfurtscheller, G., Allison, B. (eds) Brain-Computer Interfaces. The Frontiers Collection. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02091-9_6

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  • DOI: https://doi.org/10.1007/978-3-642-02091-9_6

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