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Springer EEG Signal Processing and Feature Extraction - Springer

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Description

This comprehensive guide presents the conceptual and mathematical foundations of electroencephalogram (EEG) signal processing with clear, accessible explanations suitable for both beginners and experienced practitioners. EEG records the electrical activity generated by neurons firing within the human brain at the scalp, making it invaluable for clinical neuroscience, psychology, and neural engineering applications. The book covers a range of mainstream EEG signal-processing techniques and their practical implementation, providing cognitive neuroscientists, psychologists, and researchers with the theoretical knowledge and hands-on understanding needed to effectively analyse and interpret brain electrical activity data. Whether you're developing new diagnostic methods, conducting psychological research, or advancing neural engineering projects, this Springer publication delivers the essential tools and concepts required to master EEG analysis.

Key Features

Electroencephalogram (EEG) fundamentals explain how neurons firing within the human brain generate electrical signals recorded at the scalp.

Mathematical and conceptual basis for EEG signal processing presented in straightforward, easy-to-understand language.

Practical implementation guidance for mainstream EEG signal-processing techniques used in clinical and research settings.

Ideal reference for cognitive neuroscientists, psychologists, and neural engineering professionals conducting brain activity research.

Comprehensive coverage of feature extraction methods essential for diagnostic and analytical applications in neuroscience.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 October 2020
Listed Since
24 September 2020

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