EEG Signal Processing and Feature Extraction / edited by Li Hu, Zhiguo Zhang.
Contributor(s): Hu, Li, editor | Zhang, Zhiguo, editor
Series: (Biomedical and Life Sciences (Springer-11642)).Publisher: Singapore : Springer International Publishing, 2019Edition: 1st ed. 2019.Description: 1 recurso en línea (VIII, 437 páginas) : 177 ilustraciones, 143 ilustraciones.ISBN: 9789811391132.Subject: Electroencefalografía
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RC386.6.E43 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook08012107 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| RC386.6.E43 2011 EB Blume's atlas of pediatric and adult electroencephalography | RC386.6.E43 2015 EB Modern Electroencephalographic Assessment Techniques : Theory and Applications | RC386.6 .E43 2019 EB Clinical Electroencephalography | RC386.6.E43 2019 EB EEG Signal Processing and Feature Extraction | RC386.6 .E43 2022 EB Multi-Modal EEG Monitoring of Severely Neurologically Ill Patients | RC386.6 .E43 B68 2013 EB Standard EEG : a research roadmap for neuropsychiatry | RC386.6.E43 C55 2015 EB Clinical neurophysiology in disorders of consciousness : brain function monitoring in the ICU and beyond |
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.
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