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EEG Signal Processing and Feature Extraction

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  • © 2019

Overview

  • Thoroughly discussing the concepts and methods in EEG signal processing and feature extraction

  • Providing the cutting-edge developments in EEG analysis

  • Illustrating the applications of the advanced techniques in various research fields

  • With ample illustrations

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Table of contents (20 chapters)

Keywords

About this book

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.


Editors and Affiliations

  • CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

    Li Hu

  • School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China

    Zhiguo Zhang

About the editors

Dr. Li Hu is a Principle Investigator at the Institute of Psychology, Chinese Academy of Sciences, China. He is also an Honorary Senior Research Associate at University College London. Dr. Hu has contributed to the development of novel techniques to facilitate the analysis of event-related EEG responses. He has published more than 60 research articles in this field, and was sponsored by the National Natural Science Foundation of China for Excellent Young Scholars.

Dr. Zhiguo Zhang is a Professor at the School of Biomedical Engineering, Health Science Center, Shenzhen University, China. His research focuses on neural signal analysis, brain-computer interaction, machine learning for brain decoding and digital signal processing. He has published more than 60 articles in these fields.

Bibliographic Information

  • Book Title: EEG Signal Processing and Feature Extraction

  • Editors: Li Hu, Zhiguo Zhang

  • DOI: https://doi.org/10.1007/978-981-13-9113-2

  • Publisher: Springer Singapore

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2019

  • Hardcover ISBN: 978-981-13-9112-5Published: 25 October 2019

  • Softcover ISBN: 978-981-13-9115-6Published: 25 October 2020

  • eBook ISBN: 978-981-13-9113-2Published: 12 October 2019

  • Edition Number: 1

  • Number of Pages: VIII, 437

  • Number of Illustrations: 34 b/w illustrations, 143 illustrations in colour

  • Topics: Biomedical Engineering/Biotechnology, Neurosciences, Psychology Research

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