Covers both conceptual and mathematical foundations for EEG signal processing, enabling readers to grasp core principles
Includes in-depth chapters on preprocessing, spectral and time-frequency analysis, source analysis, and machine learning applications, providing a holistic understanding
Discusses a range of mainstream EEG techniques, including ERPs, connectivity analysis, and deep learning integration, for up-to-date knowledge
Provides implementation strategies and practical examples, supporting hands-on learning and application
Written by Li Hu, an expert in cognitive neuroscience, ensuring authoritative content
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EEG Signal Processing and Feature Extraction Hu, Li; Zhang, Zhiguo
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 wit