Computational EEG Analysis [electronic resource] : Methods and Applications /
Im, Chang-Hwan.editor.
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.
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.
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 Analysis for Hyperscanning and Social Neuroscience - Dan Zhang.
Medical physics.
Radiation.
Biomedical engineering.
Radiology.
Neurology .
Computer mathematics.
Medical and Radiation Physics.
Biomedical Engineering and Bioengineering.
Imaging / Radiology.
Neurology.
Computational Science and Engineering.