Titlebook: EEG Signal Processing and Feature Extraction; Li Hu,Zhiguo Zhang Book 2019 Springer Nature Singapore Pte Ltd. 2019 Electroencephalography

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Statistical Analysis,electing the right statistical procedures would be important in EEG signal analysis. Finally, we discussed the problem of multiple comparison, which may increase the probability for the researcher to get to false positive conclusion due to the multiple comparison and remains a challenge in statistical method.

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Book 2019eloped. 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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Book 2019prehensive, 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 dev

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of EPs and ERPs is provided, and classical EP and ERP components that are applied in clinical and neuroscience studies are also described, with an emphasis on different sensory modalities through which the stimuli are presented. Finally, the pitfalls and promise in EP and ERP studies are discussed.

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Erika Takada,Judy M. Ford,Linda S. Lloydsition, to provide a comprehensive review on this growing topic. The main focus will be on basic principles of applying ICA on continuous EEG data to remove artifacts, PCA, and tensor decomposition on ERP data to conduct group analysis. The introduction of current softwares specialized in PCA and ICA on EEG signal processing will also be covered.

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