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Computational EEG Analysis Methods and Applications

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 th...

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Bibliographic Details
Other Authors: Im, Chang-Hwan (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2018, 2018
Edition:1st ed. 2018
Series:Biological and Medical Physics, Biomedical Engineering
Subjects:
Neurology 
Biomedical Engineering
Neurology
Medical Physics
Radiology
Mathematics / Data Processing
Biomedical Engineering And Bioengineering
Computational Science And Engineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part I. Introduction
  • Chapter 1. Basics of EEG: Generation, Acquisition and Applications of EEG – Chang-Hwan Im
  • Part II. Methods
  • Chapter 2. Preprocessing of EEG – Sung-Phil Kim
  • Chapter 3. EEG Spectral Analysis – Do-Won Kim and Chang-Hwan Im
  • Chapter 4. The Analysis of Event-Related Potentials – Marco Congedo
  • Chapter 5. EEG Source Imaging and Multimodal Neuroimaging - Yingchun Zhang
  • Chapter 6. Methods for Functional Connectivity Analysis – Jeong-Woo Choi and Kyung-Hwan Kim
  • Part III. Applications
  • Chapter 7. Computational EEG Analysis for the Diagnosis of Psychiatric Illnesses – Seung-Hwan Lee and Yeonsoo Park
  • Chapter 8. Analysis of EEG in Medically Intractable Epilepsy – Ki-Young Jung
  • Chapter 9. Computational EEG Analysis for Brain-Computer Interfaces – Garett D. Johnson and Dean J. Krusienski
  • Chapter 10. EEG Analysisfor Hyperscanning and Social Neuroscience - Dan Zhang

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