Analysis and Classification of EEG Signals for Brain-Computer Interfaces

158660

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Book

In basket

(Studies in Computational Intelligence ; 852)

Author

Paszkiel Szczepan. Autor

Form of Work

Książki Publikacje naukowe

Subject

Inżynieria biomedyczna Neurobiologia Sztuczna inteligencja

Domain

Medycyna i zdrowie Inżynieria i technika

Data Acquisition Methods for Human Brain Activity Electroencephalography EEG Signal Artifacts in EEG Signal Magnetoencelography Functional Magnetic Resonance Imaging Positron Emission Tomography Near Infrared Spectroscopy Brain-Computer Interface Technology Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction Using the LORETA Method for Localization of the EEG Signal Sources in BCI Technology Data Analysis of Human Brain Activity Using MATLAB Environment with EEGLAB Using Neural Networks for Classification of the Changes in the EEG Signal Based on Facial Expressions Machine Learning Problems Deep Learning Using BCI Technology for Controlling a Mobile Vehicle Using BCI Technology for Controlling a Mobile Vehicle Using Lab VIEW Environment Augmented Reality (AR) Technology in Correlation with Brain-Computer Interface Technology Using BCI and VR Technology in Neurogaming Computer Game in UNITY Environment for BCI Technology. Using BCI in IoT Implementation

Availability:

Wypożyczalnia

There are copies available to loan: sygn. Z 8867 (1 egz.)

Notes:

Bibliography, etc. note

Bibliografia przy rozdziale.