Artificial Intelligence-Based Brain Computer Interface: A Comprehensive Guide

Artificial Intelligence-Based Brain Computer Interface provides a comprehensive overview of AI applications in modeling non-invasive modalities of medical signals such as EEG, MRI, and FMRI. These modalities, along with their AI-based analysis, are employed in BCI and related applications. The book emphasizes the challenges in non-invasive input due to the complex nature of the human brain and its various applications for analysis, classification, and identification of different mental states.

Key Applications of AI in BCI

Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities like EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system, and various organs of the body.

AI in Chronic Condition Management and Health Services

The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services. It provides readers with an understanding of key applications of Artificial Intelligence to Brain-Computer Interface for acquisition and modeling of non-invasive biomedical signal and image modalities for various conditions and disorders.

Real-World Applications and Case Studies

Integrating recent advancements of Artificial Intelligence to the evaluation of large amounts of clinical data for the early detection of disorders such as Epilepsy, Alcoholism, Sleep Apnea, motor-imagery tasks classification, and others. The book includes illustrative examples on how Artificial Intelligence can be applied to the Brain-Computer Interface, including a wide range of case studies in predicting and classification of neurological disorders.

Published by Elsevier Science, this book is available in English and offers a comprehensive guide for researchers, scientists, and professionals working in the field of AI, BCI, and related applications. It is a valuable resource for those looking to understand the latest advancements in AI and its applications in healthcare.