具體描述
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.
著者簡介
Dr. Li Hu is a Principle Investigator at the Institute of Psychology, Chinese Academy of Sciences, China. He is also an Honorary Senior Research Associate at University College London. Dr. Hu has contributed to the development of novel techniques to facilitate the analysis of event-related EEG responses. He has published more than 60 research articles in this field, and was sponsored by the National Natural Science Foundation of China for Excellent Young Scholars.
Dr. Zhiguo Zhang is a Professor at the School of Biomedical Engineering, Health Science Center, Shenzhen University, China. His research focuses on neural signal analysis, brain-computer interaction, machine learning for brain decoding and digital signal processing. He has published more than 60 articles in these fields.
圖書目錄
Pages i-viii
Introduction
Li Hu, Zhiguo Zhang
Pages 1-5
EEG: Neural Basis and Measurement
Xiaolei Xia, Li Hu
Pages 7-21
Electroencephalography, Evoked Potentials, and Event-Related Potentials
Xuejing Lu, Li Hu
Pages 23-42
ERP Experimental Design
Ruolei Gu
Pages 43-69
EEG Preprocessing and Denoising
Weiwei Peng
Pages 71-87
Spectral and Time-Frequency Analysis
Zhiguo Zhang
Pages 89-116
Blind Source Separation
Fengyu Cong
Pages 117-140
Microstate Analysis
Huibin Jia
Pages 141-157
Source Analysis
Xu Lei
Pages 159-189
Single-Trial Analysis
Li Hu
Pages 191-214
Nonlinear Neural Dynamics
Yang Bai, Xiaoli Li, Zhenhu Liang
Pages 215-240
Connectivity Analysis
Huibin Jia
Pages 241-266
Spatial Complex Brain Network
Dong Wen, Zhenhao Wei, Yanhong Zhou, Yanbo Sun, Fengnian Li, Jiewei Li
Pages 267-286
Temporal Complex Network Analysis
Zhongke Gao, Yuxuan Yang, Qing Cai
Pages 287-300
Machine Learning
Yiheng Tu
Pages 301-323
Deep Learning
Zhongke Gao, Xinmin Wang
Pages 325-333
Statistical Analysis
Gan Huang
Pages 335-375
Simultaneous EEG-fMRI
Xu Lei
Pages 377-405
EEG/ERP Data Analysis Toolboxes
Gan Huang
Pages 407-434
Summary and Conclusions
Zhiguo Zhang, Li Hu
Pages 435-437
· · · · · · (收起)
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用戶評價
這本書基本上是最好的一本EEG信號處理的書，Mike Cohen有一本Analyzing Neural Time Series Data，相比之下，這本書內容更多，更全，內容很前沿。那本書更入門一點。
评分這本書基本上是最好的一本EEG信號處理的書，Mike Cohen有一本Analyzing Neural Time Series Data，相比之下，這本書內容更多，更全，內容很前沿。那本書更入門一點。
评分這本書基本上是最好的一本EEG信號處理的書，Mike Cohen有一本Analyzing Neural Time Series Data，相比之下，這本書內容更多，更全，內容很前沿。那本書更入門一點。
评分這本書基本上是最好的一本EEG信號處理的書，Mike Cohen有一本Analyzing Neural Time Series Data，相比之下，這本書內容更多，更全，內容很前沿。那本書更入門一點。
评分這本書基本上是最好的一本EEG信號處理的書，Mike Cohen有一本Analyzing Neural Time Series Data，相比之下，這本書內容更多，更全，內容很前沿。那本書更入門一點。
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