Format:
1 Online-Ressource (VIII, 437 p. 177 illus., 143 illus. in color)
Edition:
1st ed. 2019
ISBN:
9789811391132
Series Statement:
Springer eBooks
Content:
Introduction -- EEG: origin and measurement -- Electroencephalography, Evoked potentials and event-related potentials -- ERP Experimental design -- EEG Preprocessing and denoising -- Spectral and time-frequency analysis -- Blind source separation -- Microstate analysis -- Source analysis -- Single-trial analysis -- Nonlinear neural dynamics -- Connectivity analysis -- Spatial complex brain network -- Temporal complex network analysis -- Machine learning -- Deep learning -- Statistical analysis -- Simultaneous EEG-fMRI -- EEG/ERP data analysis toolboxes -- Summary and conclusions
Content:
This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies
Additional Edition:
ISBN 9789811391125
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-981-13-9112-5
Language:
English
DOI:
10.1007/978-981-13-9113-2
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