Analysis and classification of EEG signals for brain-computer interfaces / Szczepan Paszkiel.
2020
QP360.7 .P37 2020eb
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Analysis and classification of EEG signals for brain-computer interfaces / Szczepan Paszkiel.
Author
Paszkiel, Szczepan, author.
ISBN
9783030305819 (electronic book)
3030305813 (electronic book)
9783030305802
3030305805
3030305813 (electronic book)
9783030305802
3030305805
Published
Cham : Springer, [2020]
Copyright
©2020
Language
English
Description
1 online resource.
Other Standard Identifiers
10.1007/978-3-030-30581-9 doi
Call Number
QP360.7 .P37 2020eb
Dewey Decimal Classification
612.80285
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 17, 2019).
Series
Studies in computational intelligence ; v. 852.
Available in Other Form
Print version: 9783030305802
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources