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Computational EEG Analysis for Brain-Computer Interfaces

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Computational EEG Analysis

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

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Abstract

EEG activity can be actively or passively modulated in a way to provide commands to external devices. The feedback provided by interacting with the EEG-controlled device creates a closed-loop system with the user in the loop. Such a system is known as a Brain-Computer Interface (BCI). The selection of an analysis approach for BCIs should be guided by the nature of the signals in consideration. This chapter presents the most fundamental and widely-used EEG analysis techniques organized by the type of control signal.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA

    Garett D. Johnson & Dean J. Krusienski

Authors
  1. Garett D. Johnson
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  2. Dean J. Krusienski
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Correspondence to Dean J. Krusienski .

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Editors and Affiliations

  1. Department of Biomedical Engineering, Hanyang University, Seongdong-gu, Seoul, Korea (Republic of)

    Chang-Hwan Im

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Johnson, G.D., Krusienski, D.J. (2018). Computational EEG Analysis for Brain-Computer Interfaces. In: Im, CH. (eds) Computational EEG Analysis. Biological and Medical Physics, Biomedical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0908-3_9

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