Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Szczepan Paszkiel (Autor)

Buch | Hardcover

VI, 132 Seiten

2019 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-30580-2 (ISBN)

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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.

Chapter 1. Introduction.- Chapter 2. Data acquisition methods for human brain activity.- Chapter 3. Brain-computer interface (BCI) technology, etc.

Erscheinungsdatum	13.09.2019
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	VI, 132 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	383 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Naturwissenschaften ► Biologie ► Humanbiologie
	Technik
Schlagworte	BCI • brain computer interfaces • Brain Signals • EEG Signals • Human Brain Activity • IOT
ISBN-10	3-030-30580-5 / 3030305805
ISBN-13	978-3-030-30580-2 / 9783030305802
Zustand	Neuware