Analysis and Classification of EEG Signals for Brain-Computer Interfaces

Analysis and Classification of EEG Signals for Brain-Computer Interfaces

English | EPUB | 2020 | 131 Pages | ISBN : 3030305805 | 30.62 MB

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.

Download:

http://longfiles.com/dd3ph01znsze/Analysis_and_Classification_of_EEG_Signals_for_Brain-Computer_Interfaces.epub.html

[Fast Download] Analysis and Classification of EEG Signals for Brain-Computer Interfaces


Related eBooks:
Neural Approaches to Dynamics of Signal Exchanges
Cloud and Serverless Computing for Scientists: A Primer
Recent Development in Wireless Sensor and Ad-hoc Networks
Ambient Backscatter Communication Networks
Digital Communications: From E-Mail to the Cyber Community
Nanoscale Communication Networks
Network Security and Communication Engineering
Recent Trends in Computer Networks and Distributed Systems Security
Evolution of Broadcast Content Distribution
Advances in Dynamic Network Modeling in Complex Transportation Systems (Complex Networks and Dynamic
Communications Regulation in the Age of Digital Convergence: Legal and Economic Perspectives
Manual of Geospatial Science and Technology, Second Edition
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.