MATLAB® for Brain-Computer Interface Systems: Computation and Data ProcessingКНИГИ » АППАРАТУРА
Название: MATLAB® for Brain-Computer Interface Systems: Computation and Data Processing Автор: Faridoddin Shariaty, Sanjiban Sekhar Roy Издательство: CRC Press Год: 2025 Страниц: 180 Язык: английский Формат: pdf (true), epub Размер: 24.6 MB
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 designed for a broad audience, ranging from students embarking on the journey of understanding BCIs to seasoned researchers seeking the latest in algorithmic strategies. It is structured to provide a progressive understanding, starting with an introduction to the basic concepts of BCIs and moving towards advanced discussions on sophisticated algorithms and their applications in real-world scenarios.
The content spans several key classification algorithms, including but not limited to, Linear Classifiers, Support Vector Machines, Decision Trees, Neural Networks, and modern approaches like Deep Learning. The discourse extends beyond mere descriptions, offering detailed mathematical formulations, comparative analyses, and insights into the underlying mechanisms that make these algorithms suitable for BCI applications. Furthermore, MATLAB code snippets are provided throughout, allowing readers to practically engage with the material and apply it to real data.
Moreover, this book addresses the challenges researchers face in BCI systems, such as signal variability, artifacts, and the ever-present issue of computational constraints, offering state-of-the- art solutions and future directions in overcoming these hurdles.
Скачать MATLAB® for Brain-Computer Interface Systems: Computation and Data Processing
Навигация
Вход на сайт
Реклама
MATLAB® for Brain-Computer Interface Systems: Computation and Data Processing 
