EEG-Based Brain–Computer Interface: Trends, Challenges and Advancements
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 190
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, the development of the brain–computer interface (BCI) technology has enhanced the ability of human brain activity to interact with the environment. It can further lead to the generation of new neurorehabilitation methods for people with physical disabilities (such as paralyzed patients and amputees) and brain injuries (such as stroke patients).
The development of artificial intelligence has promoted the advancement of electroencephalographic (EEG)-based BCI technologies. The intelligent brain–computer interface system based on EEG can continuously monitor the fluctuations in the human cognitive state under monotonous tasks, which is of great significance for both people requiring medical support and researchers. Currently, many BCI studies focus on EEG signals related to whole-body kinematics motor imagery and various senses. Therefore, it is necessary to study the various experimental paradigms used in EEG-based brain–computer interface systems.
This Special Issue will focus on the latest research progress in using EEG-based BCI. Researchers are welcome to submit original research on common brain–computer interface paradigms, signal processing methods, and their applications in target patients.
Dr. Imène Jraidi
Guest Editor
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