Recent applications of EEG-based brain-computer-interface in the medical field

Area of Science:

• Biomedical Engineering
• Neuroscience
• Medical Technology

Background:

• Brain-computer interfaces (BCIs) offer direct brain-device communication.
• Existing reviews often focus narrowly on signal processing or specific applications.
• A comprehensive overview of diverse medical BCIs is needed.

Purpose of the Study:

• To provide a comprehensive review of recent electroencephalogram (EEG)-based BCI applications in medicine.
• To cover 8 critical medical areas: rehabilitation, communication, epilepsy, cerebral resuscitation, sleep, neurodegenerative diseases, anesthesiology, and emotion recognition.
• To discuss current challenges and future trends in medical BCIs.

Main Methods:

• Literature review of recent electroencephalogram (EEG)-based BCI applications.
• Categorization of applications across 8 distinct medical domains.
• Analysis of challenges and future directions.

Main Results:

• EEG-based BCIs show promise across diverse medical fields beyond motor rehabilitation.
• Key application areas include communication, epilepsy management, and sleep monitoring.
• Significant challenges remain, including privacy, security, safety, and biocompatibility.

Conclusions:

• EEG-based BCIs have broad medical potential, requiring further research and development.
• Addressing ethical, security, and safety concerns is crucial for widespread adoption.
• Future trends point towards more integrated and personalized BCI solutions.