Asadpour V. Brain-Computer Interface 2022

Textbook in PDF format

The book provides a comprehensive summary of conventional and novel methods for processing brain signals. The chapters cover a range of topics including noninvasive and invasive signal acquisition, signal processing methods, deep learning approaches, and implementation of brain-computer interfacing (BCI) in experimental problems.
Brain-computer interfacing (BCI) with the use of advanced artificial intelligence identification is a rapidly growing new technology that allows a silently commanding brain to manipulate devices ranging from smartphones to advanced articulated robotic arms when physical control is not possible. BCI can be viewed as a collaboration between the brain and a device via the direct passage of electrical signals from neurons to an external system.
Language as the Working Model of Human Mind
A Brief Summary of EEG Artifact Handling
Pain Identification in Electroencephalography Signal Using Fuzzy Inference System
Multivariate Real Time Series Data Using Six Unsupervised Machine Learning Algorithms
Therapeutic Effect of Infra-Low-Frequency Neurofeedback Training on Children and Adolescents with ADHD
Training the Conductor of the Brainwave Symphony: In Search of a Common Mechanism of Action for All Methods of Neurofeedback
Entropy and the Emotional Brain: Overview of a Research Field
Evaluating Steady-State Visually Evoked Potentials-Based Brain-Computer Interface System Using Wavelet Features and Various Machine Learning Methods
Brain Computer Interface Drone