EEG Signal Processing and Feature Extraction

EEG Signal Processing and Feature Extraction edited by Li Hu, Zhiguo Zhang.

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 sca...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hu, Li (Editor), Zhang, Zhiguo (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Springer eBook Collection.
Subjects:
Biomedical engineering.
Neurosciences.
Experiential research.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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