Artificial Intelligence Applications for Brain–Computer Interfaces

Abdulhamit Subasi, Saeed Mian Qaisar, Akash Kumar Bhoi, Parvathaneni Naga Srinivasu

• Publisher: Academic Press
• Year: 2025
• Topic: Biological Sciences
• eBook ISBN:
  9780443334153
• Subtopic: Biology
• Index: Biological Sciences

Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects of future technologies involving noninvasive brain-computer interfaces (BCIs). It includes the processing and analysis of multimodal signals, integrated computation-acquisition devices, and implantable neuro techniques. This book not only provides cross-disciplinary research in BCI but also presents divergent applications on telerehabilitation, emotion recognition, neuro-rehabilitation, cognitive workload assessments, and ambient assisted living solutions. In 15 chapters, this book describes how BCIs connect the brain with external devices like computers and electronic gadgets. It analyzes the neural signals from the brain to obtain insights from the brain patterns using multiple noninvasive wearable sensors. It gives insight into how sensor outcomes are processed through machine-intelligent models to draw inferences. Each chapter starts with the importance, problem statement, and motivation. A description of the proposed methodology is provided, and related works are also presented. Each chapter can be read independently, and therefore, the book is a valuable resource for researchers, health professionals, postgraduate students, postdoc researchers, and academicians in the fields of BCI, prosthesis, computer vision, and mental state estimation, and all those who wish to broaden their knowledge in the allied field. - Focuses on the advancements, challenges, and prospects for future technologies over noninvasive brain computer interfaces (BCIs), including the processing and analysis of multimodal signals, integrated calculation-acquisition devices, and implantable technologies. - Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective BCIs. - Assists in understanding the predominance of BCI technology in various applications.

Table of contents

• Title of Book
• Cover image
• Title page
• Table of Contents
• Copyright
• List of contributors
• Series preface
• Preface
• Acknowledgments
• Chapter 1 Introduction to brain–computer interface: research trends and applications
• Chapter 2 Preprocessing and feature extraction techniques for brain–computer interface
• Chapter 3 Emotional state monitoring and applications with brain–computer interfaces
• Chapter 4 Hand kinematics and decoding hindlimb kinematics using local field potentials using a deep neural network decoding framework
• Chapter 5 Closed-loop brain–computer interfaces for musculoskeletal impulse prediction
• Chapter 6 Classification of motor imagery tasks in brain–computer interface using ensemble learning
• Chapter 7 The application of brain–computer interface in Alzheimer’s disease studies based on machine learning algorithms
• Chapter 8 Brain–computer interfaces and deep learning methods for cognitive impairments
• Chapter 9 Prospects and challenges in decoding consumer behavior using neurotechnology
• Chapter 10 Electroencephalography-based emotion recognition with empirical mode decomposition and ensemble machine learning methods
• Chapter 11 Brain–computer interfaces for security and authentication
• Chapter 12 REMOVED: A case study on artifical intelligence based data processing in passive brain–computer interface
• Chapter 13 Analyzing eyewitness recognition accuracy using event-related potential and eye-tracking analysis: an experimental investigation
• Chapter 14 Ambient assisted living through passive brain–computer interface technology for assisting paralyzed people
• Chapter 15 Challenges and future directions in brain–computer interface research for exoskeletons usage
• Index