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Objectives and Structures of the Book

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EEG Signal Analysis and Classification

Part of the book series: Health Information Science ((HIS))

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Abstract

In the medical and health community, EEG signals are the most utilized signals in the clinical assessment of brain states, detection of epileptic seizures and identification of mental states for BCI systems. A reliable automatic classification and detection system would help to ensure an objective assessment thus facilitating treatments, and it would significantly improve the diagnosis of epilepsy. EEG signals could also be used for the long-term monitoring and treatment of patients. This chapter also provides a description of the experimental databases and performance evaluation measures used in this research. Furthermore, this chapter discusses the commonly used methods of EEG signal classification.

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Authors and Affiliations

  1. Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, Victoria, Australia

    Siuly Siuly

  2. School of Agricultural, Computational and Environmental Sciences, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Toowoomba, Queensland, QLD 4350, Australia

    Yan Li

  3. Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, Victoria, Australia

    Yanchun Zhang

  4. School of Computer Science, Fudan University, Shanghai, China

    Yanchun Zhang

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  1. Siuly Siuly
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Correspondence to Siuly Siuly .

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Siuly, S., Li, Y., Zhang, Y. (2016). Objectives and Structures of the Book. In: EEG Signal Analysis and Classification. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-47653-7_3

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