Analysis and Classification of EEG Signals for Brain-Computer Interfaces

Name: Analysis and Classification of EEG Signals for Brain-Computer Interfaces
Brand: Springer Nature Switzerland AG
SKU: 9783030305833
Price: 105.41 EUR
Availability: InStock

Автор: Szczepan Paszkiel

Език:

Корици: С меки корици

Издател: Springer Nature Switzerland AG

Наличност: Външен склад

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This book addresses the problem of EEG signal analysis and the need to classify it for practical use...

Информация за книгата

Автор

Szczepan Paszkiel

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

132

EAN

9783030305833

ISBN

303030583X

Enbook ID

33196741

Издател

Springer Nature Switzerland AG

Теглоt

454

Размери

155 x 235 x 8

Пълно описание

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.

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Analysis and Classification of EEG Signals for Brain-Computer Interfaces

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Пълно описание

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