EEG-Based Brain–Computer Interfaces: Research and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".
Deadline for manuscript submissions: closed (31 December 2025) | Viewed by 3110
Special Issue Editors
Interests: BCI; EEG; deeplearning
Interests: brain functional network; EEG; artificial intelligence (AI); biomedical signal processing; sleep apnea
Special Issue Information
Dear Colleagues,
Electroencephalography (EEG)-based brain–computer interface (BCI) technology holds immense research value, offering a non-invasive, cost-effective, and practical approach to bridging human neural activity and external devices. By decoding brain signals, EEG-BCIs enable direct communication and control pathways, opening new frontiers in understanding brain function and enhancing human capabilities.
In recent years, EEG-BCI technology has achieved remarkable progress in signal processing, machine learning, and interdisciplinary applications, driving significant advancements in areas such as neurorehabilitation, virtual reality interaction, and disease diagnosis. This Special Issue aims to provide a platform for showcasing the latest research and developments in EEG-based brain–computer interfaces (BCIs). We welcome original contributions addressing key topics, including EEG signal preprocessing, novel deep learning algorithms, EEG-based disease diagnosis, and emerging BCI paradigms. By fostering academic exchange and promoting innovation, this Special Issue seeks to push the boundaries of BCI research and unlock new possibilities in this rapidly evolving field. We look forward to receiving your submissions.
Potential topics include, but are not limited to, the following:
- Advanced signal processing techniques;
- Machine learning and deep learning in BCIs;
- Neurofeedback and cognitive enhancement;
- EEG-based disease diagnosis;
- BCI in clinical settings;
- BCI paradigms and applications.
Dr. Fo Hu
Dr. Gang Li
Dr. Junhua Li
Guest Editors
Manuscript Submission Information
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Keywords
- brain–computer interface
- neural signal processing
- neural modeling and neuromodulation
- computational neuroscience
- practical applications of brain–computer interfaces
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