MATLAB(R) for Brain-Computer Interface Systems: Computation and Data Processing
暫譯: MATLAB(R) 在腦機介面系統中的應用：計算與數據處理
Shariaty, Faridoddin, Sekhar Roy, Sanjiban
相關主題
商品描述
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(R). It begins with an introduction, covering the history of BCIs, components, and the pivotal role MATLAB(R) 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(R) 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(R), 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(R) 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.
商品描述(中文翻譯)
本書深入探討腦機介面（Brain-Computer Interfaces, BCI），強調該快速發展領域的理論基礎和實際應用。它全面涵蓋了BCI的基本原理及使用MATLAB(R)的實際實現。書中首先介紹了BCI的歷史、組成部分，以及MATLAB(R)在其發展中所扮演的關鍵角色。接著，書中探討了多個方面，如信號處理、數據獲取、快速原型製作、機器學習和實時數據處理，所有這些都在MATLAB(R)環境中進行。此外，還深入探討了可用的社群和支援，以及開源BCI工具箱和與外部設備的整合。隨著內容的深入，本書探討了BCI的基本概念，包括其定義、應用、原則和組成部分。它涵蓋了BCI系統中使用的不同類型的腦信號及其設計中面臨的挑戰，如信號可靠性、使用者友好性、隱私和法規問題。書中討論了其原則、在MATLAB(R)中的實現，以及訓練和評估分類模型的實際考量。最後，本書以現實案例研究和實際範例作結，展示了MATLAB(R)在BCI專案中的應用。
本書是研究人員、工程師、學生和實務工作者探索神經科學、信號處理和機器學習之間迷人交集的必讀書籍，特別是通過基於MATLAB的BCI開發。
作者簡介
Faridoddin Shariaty is a distinguished researcher in Artificial Intelligence applications in medicine, specializing in Medical Image Processing. He is currently a Research Assistant at Peter the Great St Petersburg Polytechnic University in St Petersburg, Russia. He is involved in pioneering research in computer-aided diagnosis systems, leveraging advanced machine learning techniques to enhance medical diagnostics.
Sanjiban Sekhar Roy is a Professor in the School of Computer Science and Engineering, Vellore Institute of Technology. He has a PhD from Vellore Institute of Technology (2016). His research interests include deep learning and advanced machine learning. Dr. Roy is a recipient of the "Diploma of Excellence" award for academic research in the year 2019 from the Ministry of National Education, Romania. He was an associate researcher in Ton Duc Thang University, Vietnam (2019-20). He has served as an editor of a handful of special issues for journals, published numerous articles in SCI high impact journals and many books with reputed publishers.
作者簡介(中文翻譯)
法里多丁·沙里亞提是一位在醫學中應用人工智慧的傑出研究者，專注於醫學影像處理。他目前是俄羅斯聖彼得堡彼得大帝聖彼得堡理工大學的研究助理。他參與了計算機輔助診斷系統的開創性研究，利用先進的機器學習技術來提升醫療診斷的準確性。
桑吉班·塞卡·羅伊是維洛爾科技學院計算機科學與工程學院的教授。他於2016年獲得維洛爾科技學院的博士學位。他的研究興趣包括深度學習和先進的機器學習。羅伊博士於2019年獲得羅馬尼亞國家教育部頒發的「卓越文憑」獎，以表彰其學術研究。他曾在越南的董德湯大學擔任副研究員（2019-20）。他曾擔任多本期刊特刊的編輯，並在多個高影響力的SCI期刊上發表了大量文章，以及與知名出版社合作出版了多本書籍。
