Motivation and Scope:
Neurological diseases and injuries have seriously diminished the quality of life for patients and imposed a heavy economic and medical burden on society. The rapidly developing brain-computer interface (BCI) technology has brought new hope for improving this situation. BCI technology, through decoding brain activity, enables direct human-machine interaction, providing an assistive or alternative interaction mode for patients with motor disabilities or sensory deficits, and is expected to improve their self-care ability and quality of life. Simultaneously, combined with the principles of neurofeedback and neuroplasticity, BCI technology has also demonstrated tremendous potential for neural rehabilitation. Through closed-loop neurostimulation and task training, BCI is expected to reshape and enhance the functional connectivity of brain regions, promoting the reorganization of damaged neural pathways, thereby restoring or partially restoring patients' motor, sensory, and cognitive abilities. This special session aims to bring together the latest research advances in the fields of BCI and neural rehabilitation, exploring innovative methods that utilize BCI technology to improve the quality of life for patients with neurological diseases and injuries, and promote neural function reconstruction. We welcome high-quality submissions related to theoretical research, algorithm design, system implementation, clinical trials, and more, with the expectation of contributing to academic research and clinical applications in BCI and neural rehabilitation.
Some potential submission topics include but are not limited to:| 1, | Brain signal decoding algorithms in brain-computer interfaces |
| 2, | BCI system design for specific neurological diseases or injuries |
| 3, | Applications of BCI in motor/sensory/cognitive neural rehabilitation |
| 4, | Biomarkers based on brain signals for disease diagnosis |
| 5, | Research combining BCI with exoskeletons/prosthetics and other assistive technologies |
| 6, | The impact of BCI and neurofeedback on brain functional reorganization |
| 7, | Human-machine interaction design and user experience optimization for BCI systems |
| 8, | Large-scale brain data analysis for BCI and rehabilitation |
Dr. Banghua Yang is a tenured professor with joint appointments at the School of Mechatronic Engineering and Biomedicine and the School of Medicine at Shanghai University, a Ph.D. supervisor, and the director of the Artificial Intelligence and Biomedical Engineering Cross-disciplinary Research Center. He is a recipient of the Shanghai Pujiang Talent Program and the Shanghai May 1st Labor Medal. His primary research areas include motor imagery brain wave decoding and deep learning/transfer learning and other artificial intelligence machine learning methods. He serves as an editorial board member and invited reviewer for multiple journals. He has published over 110 academic papers, obtained more than 10 patents, and has been invited to give over 40 academic presentations at domestic and international conferences.
Paper submission:
Prospective authors are invited to submit full-length papers before the submission deadline through the online submission system at https://www.smartchair.org/LSMS2024-ICSEE2024/. Further, proposals for special sessions within the technical scopes of the conference are most welcome. Papers submitted for special sessions will be peer-reviewed with the same criteria as used with regular papers. A special session proposal should include the session title, a brief description, and the names, contact details and bio-sketch of the organizers.
See also the Author's kit for Paper Format.
Accepted papers are scheduled to be published in the Springer Communications in Computer and Information Science (CCIS) proceedings (EI Compendex). Some high-quality papers will be recommended for possible publication in SCI indexed international journals after expansion and further review, such as Journal of Modern Power Systems and Clean Energy, Transactions of the Institute of Measurement and Control, Expert System with Applications, Swarm and Evolutionary Computation, Cognitive Computation, Enterprise Information Systems, Advances in Manufacturing, IET Energy Systems Integration, etc.
