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

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书目名称EEG Signal Processing and Feature Extraction
编辑Li Hu,Zhiguo Zhang
视频video
概述Thoroughly discussing the concepts and methods in EEG signal processing and feature extraction.Providing the cutting-edge developments in EEG analysis.Illustrating the applications of the advanced tec
图书封面Titlebook: EEG Signal Processing and Feature Extraction;  Li Hu,Zhiguo Zhang Book 2019 Springer Nature Singapore Pte Ltd. 2019 Electroencephalography
描述.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..
出版日期Book 2019
关键词Electroencephalography (EEG); Signal processing; Feature extraction; Time series analysis; Software
版次1
doihttps://doi.org/10.1007/978-981-13-9113-2
isbn_softcover978-981-13-9115-6
isbn_ebook978-981-13-9113-2
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Indigenous Spirituality at Work: Australiaepochs that are time-locked to the specific events of interest should be extracted to facilitate the investigation of task/stimulus-related changes in EEG. Trials contaminated by artifacts, as well as bad channels that are not functioning properly for various reasons, should be excluded from further
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Uses of Ultrasound and their Hazards, at different situations, it is still improper to determine which measure is the best one. The measure selection in your study should take a number of factors into account, such as the parameter selection, robust to artifacts, compute consumption, the correlation of the nonlinear characteristics wit
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