EEG Signal Processing and Feature Extraction

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, http://id.loc.gov/vocabulary/relators/edt), Zhang, Zhiguo (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Online Access:Full Text via HEAL-Link
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.