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.