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Computational EEG Analysis

Methods and Applications

  • Chang-Hwan Im

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction

    1. Front Matter
      Pages 1-1
  3. Methods

    1. Front Matter
      Pages 13-13
    2. Sung-Phil Kim
      Pages 15-33
    3. Do-Won Kim, Chang-Hwan Im
      Pages 35-53
    4. Marco Congedo
      Pages 55-82
    5. Jeong Woo Choi, Kyung Hwan Kim
      Pages 125-145
  4. Applications

    1. Front Matter
      Pages 147-147
    2. Garett D. Johnson, Dean J. Krusienski
      Pages 193-214

About this book

Introduction

This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource.

 

Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience.

 

Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.


Keywords

electroencephlaography magnetoencephalography quantitative EEG (qEEG) EEG neurofeedback EEG source imaging multimodal neuroimaging Scalp and intracranial EEGs brain-computer interface

Editors and affiliations

  • Chang-Hwan Im
    • 1
  1. 1.Department of Biomedical EngineeringHanyang UniversitySeongdong-gu, SeoulKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-0908-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-981-13-0907-6
  • Online ISBN 978-981-13-0908-3
  • Series Print ISSN 1618-7210
  • Series Online ISSN 2197-5647
  • Buy this book on publisher's site