Computational EEG Analysis: Methods and Applications

✍ Scribed by Chang-Hwan Im

• Publisher: Springer Singapore
• Year: 2018
• Tongue: English
• Leaves: 232
• Series: Biological and Medical Physics, Biomedical Engineering
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
Basics of EEG: Generation, Acquisition, and Applications of EEG (Chang-Hwan Im)....Pages 3-11
Front Matter ....Pages 13-13
Preprocessing of EEG (Sung-Phil Kim)....Pages 15-33
EEG Spectral Analysis (Do-Won Kim, Chang-Hwan Im)....Pages 35-53
The Analysis of Event-Related Potentials (Marco Congedo)....Pages 55-82
EEG Source Imaging and Multimodal Neuroimaging (Yingchun Zhang)....Pages 83-123
Methods for Functional Connectivity Analysis (Jeong Woo Choi, Kyung Hwan Kim)....Pages 125-145
Front Matter ....Pages 147-147
Computational EEG Analysis for the Diagnosis of Psychiatric Illnesses (Seung-Hwan Lee, Yeonsoo Park)....Pages 149-175
Analysis of EEG in Medically Intractable Epilepsy (Ki-Young Jung)....Pages 177-192
Computational EEG Analysis for Brain-Computer Interfaces (Garett D. Johnson, Dean J. Krusienski)....Pages 193-214
Computational EEG Analysis for Hyperscanning and Social Neuroscience (Dan Zhang)....Pages 215-228

✦ Subjects

Physics; Medical and Radiation Physics; Biomedical Engineering; Imaging / Radiology; Neurology; Computational Science and Engineering