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EEG signal processing and feature ex...
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Hu, Li.
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EEG signal processing and feature extraction
Record Type:
Electronic resources : Monograph/item
Title/Author:
EEG signal processing and feature extraction/ edited by Li Hu, Zhiguo Zhang.
other author:
Hu, Li.
Published:
Singapore :Springer Singapore : : 2019.,
Description:
viii, 437 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Electroencephalography. -
Online resource:
https://doi.org/10.1007/978-981-13-9113-2
ISBN:
9789811391132
EEG signal processing and feature extraction
EEG signal processing and feature extraction
[electronic resource] /edited by Li Hu, Zhiguo Zhang. - Singapore :Springer Singapore :2019. - viii, 437 p. :ill. (some col.), digital ;24 cm.
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.
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.
ISBN: 9789811391132
Standard No.: 10.1007/978-981-13-9113-2doiSubjects--Topical Terms:
543293
Electroencephalography.
LC Class. No.: RC386.6.E43 / E347 2019
Dewey Class. No.: 616.8047547
EEG signal processing and feature extraction
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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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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.
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Biomedical and Life Sciences (Springer-11642)
based on 0 review(s)
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1 records • Pages 1 •
1
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Attachments
W9393570
電子資源
11.線上閱覽_V
電子書
EB RC386.6.E43 E347 2019
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