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EEG signal processing and feature ex...

Hu, Li.

EEG signal processing and feature extraction

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	EEG signal processing and feature extractionedited by Li Hu, Zhiguo Zhang.
其他作者:	Hu, Li.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	viii, 437 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Electroencephalography.
電子資源:	https://doi.org/10.1007/978-981-13-9113-2
ISBN:	9789811391132$q(electronic bk.)

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$q(electronic bk.)

Standard No.: 10.1007/978-981-13-9113-2doiSubjects--Topical Terms:

194456
Electroencephalography.

LC Class. No.: RC386.6.E43 / E347 2019

Dewey Class. No.: 616.8047547

EEG signal processing and feature extraction
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505 0 $a 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.
520 $a 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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