Matlab For Brain Computer Interface Systems
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MATLAB® for Brain-Computer Interface Systems
The book extensively explores Brain-Computer Interfaces (BCIs), emphasizing both the theoretical foundations and practical applications within this rapidly advancing field. It provides a thorough coverage of BCI fundamentals and practical implementation using MATLAB®. It begins with an introduction, covering the history of BCIs, components, and the pivotal role MATLAB® plays in their development. The book explores various aspects such as signal processing, data acquisition, rapid prototyping, machine learning, and real-time data processing, all within the MATLAB® environment. Additionally, it delves into the community and support available, along with open-source BCI toolboxes and integration with external devices. Moving forward, the book dives into the fundamentals of BCIs, including their definition, applications, principles, and components. It covers different types of brain signals utilized in BCI systems and the challenges involved in their design, such as signal reliability, userfriendliness, privacy, and regulatory issues. It discusses their principles, implementation in MATLAB®, and practical considerations for training and evaluating classification models. Finally, the book concludes with real-world case studies and practical examples, demonstrating the application of MATLAB® in BCI projects. This book is an essential reading for researchers, engineers, students, and practitioners seeking to explore the fascinating intersection of neuroscience, signal processing, and machine learning through MATLAB-based BCI development.
Brain-Computer Interface Systems
Author: Reza Fazel-Rezai
language: en
Publisher: BoD – Books on Demand
Release Date: 2013-06-05
Brain-Computer Interface (BCI) systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer. In the recent years, attention to this new area of research and the number of publications discussing different paradigms, methods, signal processing algorithms, and applications have been increased dramatically. The objective of this book is to discuss recent progress and future prospects of BCI systems. The topics discussed in this book are: important issues concerning end-users; approaches to interconnect a BCI system with one or more applications; several advanced signal processing methods (i.e., adaptive network fuzzy inference systems, Bayesian sequential learning, fractal features and neural networks, autoregressive models of wavelet bases, hidden Markov models, equivalent current dipole source localization, and independent component analysis); review of hybrid and wireless techniques used in BCI systems; and applications of BCI systems in epilepsy treatment and emotion detections.
Control, Computer Engineering and Neuroscience
This book presents the proceedings of the 4th International Scientific Conference IC BCI 2021 Opole, Poland. The event was held at Opole University of Technology in Poland on 21 September 2021. Since 2014, the conference has taken place every two years at the University’s Faculty of Electrical Engineering, Automatic Control and Informatics. The conference focused on the issues relating to new trends in modern brain–computer interfaces (BCI) and control engineering, including neurobiology–neurosurgery, cognitive science–bioethics, biophysics–biochemistry, modeling–neuroinformatics, BCI technology, biomedical engineering, control and robotics, computer engineering and neurorehabilitation–biofeedback.