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. |MATLAB® for Brain-Computer Interface Systems Computation and Data Processing
