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Neural Interface Engineering pp 1–16Cite as

Electroencephalography

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Abstract

Recent advances in neuroscience and neural engineering have enabled researchers to better understand the neural mechanisms underlying complex human brain functions, which has led to a new recognition of the needs in clinical arenas. To this effect, electroencephalography (EEG) has been widely used due to several of its advantages, including noninvasiveness and cost-effectiveness. EEG provides information about electrical activities of neural functions collected typically with scalp electrodes. As EEG-based knowledge is expanding, EEG systems are being used in more sophisticated technologies including brain–computer interfaces (BCIs) and neuromodulation protocols. This type of noninvasive neuroimaging technique has growing applications in various fields including engineering, psychology and neuroscience, clinical and neurological domains, and neuromarketing. This chapter explains the fundamental principles of EEG signals and recording tools so that the reader can acquire the necessary knowledge about state-of-the-art EEG techniques and their corresponding challenges.

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Authors and Affiliations

  1. Department of Electrical, Computer & Biomedical Engineering, University of Rhode Island (URI), Kingston, RI, USA

    Yalda Shahriari, Walter Besio, Sarah Ismail Hosni, Seyyed Bahram Borgheai, Roohollah Jafari Deligani & John McLinden

  2. Interdisciplinary Neuroscience Program, URI, Kingston, RI, USA

    Yalda Shahriari, Walter Besio & Alyssa Hillary Zisk

Authors
  1. Yalda Shahriari
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  2. Walter Besio
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  3. Sarah Ismail Hosni
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  4. Alyssa Hillary Zisk
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  5. Seyyed Bahram Borgheai
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  6. Roohollah Jafari Deligani
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  7. John McLinden
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Correspondence to Yalda Shahriari .

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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA

    Liang Guo

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Shahriari, Y. et al. (2020). Electroencephalography. In: Guo, L. (eds) Neural Interface Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-41854-0_1

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  • DOI: https://doi.org/10.1007/978-3-030-41854-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41853-3

  • Online ISBN: 978-3-030-41854-0

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