Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects for future technologies over non-invasive BCIs, including the processing and analysis of multi-bio-signals, integrated stimulation-acquisition devices, and implantable neuro-technologies. The book not only provides cross-disciplinary research in the fields of Brain-Computer interfaces, it also presents divergent applications on telerehabilitation, emotion recognition, neuro-rehabilitation, and ambient assisted living environments through cognitive workload assessments. In 16 peer reviewed chapters, the book describes how Brain-computer interfaces (BCIs) enable a connection between the brain and external devices like computers and electronic gadgets. Sections analyzes the neural signals from the brain to obtain insights from brain patterns using multiple non-invasive wearable sensors and gives insight in how sensors outcome are processed through machine-intelligent models to draw inferences. Each chapter starts with the importance, problem statement and motivation. The description of proposed methodology is provided, and related works are also presented.
Table of Contents
1. Introduction to brain-computer interface: Research trends and opportunities2. Pre-processing and feature extraction techniques for the brain-computer interface
3. Recent advancements in artificial intelligence and data centric operations in the brain-computer interface
4. Using kinesthetic haptic feedback for the training of motor imagery-BCI model
5. Transfer learning using deep neural networks to improve the performance of BCI models
6. Hand kinematics and decoding hindlimb kinematics using local field potentials using a deep neural network decoding framework
7. Closed-loop brain-computer interfaces for musculoskeletal impulse prediction
8. Modulating brain and modulation of neural insular activity through a brain computer interface
9. Goal-driven attainment concerning imagery assisting the elderly people
10. EEG based classification of the motor imagery tasks for assistive solutions
11. Ambient assisted living through passive BCI technology for assisting paralyzed people
12. Visual prosthetics assistance models using BCI for visually impaired people
13. Emerging applications of BCI for rehabilitating the Parkinson's patients
14. Human-wheelchair coordination using self-adaptive models and brain function evaluation network
15. Challenges and future directions in BCI research for the exoskeletons usage
16. Case studies on the artificial intelligence based data processing in passive BCI
Authors
Abdulhamit Subasi Institute of Biomedicine, Faculty of Medicine, University of Turku, Turku, Finland Department of Computer Science, College of Engineering, Effat University, Jeddah, Saudi Arabia.Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Processing. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. His career has spanned various prestigious institutions, including the Georgia Institute of Technology in Georgia, USA, where he served as a dedicated researcher. In recognition of his outstanding research contributions, Subasi received the prestigious Queen Effat Award for Excellence in Research in May 2018. His academic journey includes a tenure as a Professor of computer science at Effat University in Jeddah, Saudi Arabia, from 2015 to 2020. Since 2020, he has assumed the role of Professor of medical physics at the Faculty of Medicine, University of Turku in Turku, Finland
Saeed Mian Qaisar CESI LINEACT, Lyon, France College of Engineering, Effat University, Jeddah, Saudi Arabia. Dr. Qaisar currently holds the position of Research & Innovation Department Head for the South-East Region at CESI LINEACT, located in France. In recognition of his teaching and learning excellence, he was honored with the Queen Effat Award in May 2016. Dr. Qaisar's accomplishments encompass two granted patents, as well as an extensive portfolio of published works spanning journal articles, book chapters, and conference papers. Furthermore, Dr. Qaisar contributes to the academic community as an editor for various international journals and is actively involved in the technical and review committees of several international journals and conferences. His current areas of research focus include signal processing, circuits and systems, artificial intelligence, event-driven systems, biomedical and bioinformatics applications, smart grid technology, energy storage, and sampling theory. Akash Kumar Bhoi Directorate of Research, Gangtok, Sikkim Manipal University, Sikkim, India.Dr. Akash Kumar Bhoi, holds degrees in B.Tech, M.Tech, and Ph.D., and has been contributing to the field of computer science and engineering. He assumed the role of Assistant Professor (Research) at the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology (SMIT), India, in 2012. In addition to his academic responsibilities, Dr. Bhoi extended his expertise during a research tenure as a Research Associate at the Wireless Networks (WN) Research Laboratory, Institute of Information Science and Technologies, National Research Council (ISTI-CRN) in Pisa, Italy, from January 20, 2021, to January 19, 2022. Dr. Bhoi further serves as the University Ph.D. Course Coordinator for "Research & Publication Ethics (RPE)." He is an active member of professional organizations such as IEEE, ISEIS, and IAENG, and holds associate membership with IEI and UACEE. He plays a significant role as an editorial board member and reviewer for esteemed Indian and international journals and regularly contributes as a reviewer. His research expertise encompasses a wide array of domains, including Biomedical Technologies, the Internet of Things, Computational Intelligence, Antenna technology, and Renewable Energy. Dr. Bhoi has a notable publication record, with multiple papers featured in national and international journals and conferences. Dr. Bhoi has played a pivotal role in the organization of international conferences and workshops, offering his expertise as a key contributor. Currently, he is involved in editing several books in collaboration with international publishers
Parvathaneni Naga Srinivasu Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India Department of Teleinformatics Engineering, Federal University of Cear�, Fortaleza, Brazil INTI International University, Nilai, Malaysia.Parvathaneni Naga Srinivasu has earned his Ph.D. degree at GITAM (Deemed to be University) and his areas of research include Biomedical Imaging, Image Enhancement, Image Segmentation, Object Recognition, Image Encryption, Optimization Algorithms, Soft computing, and Natural Language Processing. He is working as an Assistant Professor at the Department of Computer Science and Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam. He is a member of CSI, IAENG, IARA and a regular reviewer for Scopus indexed journals like JCS and IJAIP, Inderscience. He is a guest editor for the special issues and books that are published by reputed publishers like Bentham Science, Springer, and Elsevier. He is a passionate researcher and his articles have been published in national and international journals alongside conferences.
