EEG signal processing and feature extraction

By:

Hu, Li (Ed.)

Contributor(s):

Zhang, Zhiguo [Co-Editor]

Publication details: Singapore: Springer, 2019.Description: viii, 437p.: col. ill.; hbk.: 24 cmISBN:

9789811391125

Subject(s):

DDC classification:

616.804757 HUL

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. https://link.springer.com/book/10.1007/978-981-13-9113-2

List(s) this item appears in: Cognitive Science

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Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	616.804757 HUL (Browse shelf(Opens below))	1	Available	034448

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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.

https://link.springer.com/book/10.1007/978-981-13-9113-2

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