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脑机接口脑电信号的分析与分类-Analysis and Classification of EEG Signals for Brain–Computer Interfaces

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上传于 2020-03-06 49次下载 5226次围观
文件编号:6843
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标题(title):Analysis and Classification of EEG Signals for Brain–Computer Interfaces
脑机接口脑电信号的分析与分类
作者(author):Szczepan Paszkiel
出版社(publisher):Springer International Publishing
大小(size):8 MB (8314046 bytes)
格式(extension):pdf
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This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain–computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore–Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology.
In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain–computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain–computer technology and virtual reality technology.

Table of contents :
Front Matter ....Pages i-vi
Introduction (Szczepan Paszkiel)....Pages 1-2
Data Acquisition Methods for Human Brain Activity (Szczepan Paszkiel)....Pages 3-9
Brain–Computer Interface Technology (Szczepan Paszkiel)....Pages 11-17
Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction (Szczepan Paszkiel)....Pages 19-25
Using the LORETA Method for Localization of the EEG Signal Sources in BCI Technology (Szczepan Paszkiel)....Pages 27-32
Data Analysis of Human Brain Activity Using MATLAB Environment with EEGLAB (Szczepan Paszkiel)....Pages 33-39
Using Neural Networks for Classification of the Changes in the EEG Signal Based on Facial Expressions (Szczepan Paszkiel)....Pages 41-69
Using BCI Technology for Controlling a Mobile Vehicle (Szczepan Paszkiel)....Pages 71-77
Using BCI Technology for Controlling a Mobile Vehicle Using LabVIEW Environment (Szczepan Paszkiel)....Pages 79-86
Augmented Reality (AR) Technology in Correlation with Brain–Computer Interface Technology (Szczepan Paszkiel)....Pages 87-91
Using BCI and VR Technology in Neurogaming (Szczepan Paszkiel)....Pages 93-99
Computer Game in UNITY Environment for BCI Technology (Szczepan Paszkiel)....Pages 101-110
Using BCI in IoT Implementation (Szczepan Paszkiel)....Pages 111-128
Summary (Szczepan Paszkiel)....Pages 129-130
Back Matter ....Pages 131-132
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