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EEG Signal Processing and Feature Extraction / edited by Li Hu, Zhiguo Zhang.
- Format:
- Book
- Series:
- Biomedical and Life Sciences (Springer-11642)
- Language:
- English
- Subjects (All):
- Biomedical engineering.
- Neurosciences.
- Experiential research.
- Biomedical Engineering/Biotechnology.
- Psychology Research.
- Local Subjects:
- Biomedical Engineering/Biotechnology.
- Neurosciences.
- Psychology Research.
- Physical Description:
- 1 online resource (VIII, 437 pages) : 177 illustrations, 143 illustrations in color
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Singapore : Springer Singapore : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-13-9113-2
- 9789811391132
- Access Restriction:
- Restricted for use by site license.
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